The invention relates generally to Global Navigation Satellite System (GNSS) receivers and more particularly to a method and an apparatus for computing multiple precise locations using differential carrier phases of a GNSS satellite signal by synchronizing the clocks between the master receiver and the slave receiver. It further relates to a technique of connecting a plurality of antennas to the slave receiver, which can be switched on to measure each antenna's relative location to the master antenna for monitoring long-term deformation. Still further, the invention relates to surveying and measuring applications of a multi-antenna, single-receiver vector GNSS system using RTK techniques.
GNSS includes the Global Positioning System (GPS), which was established by the United States government, and employs a constellation of 24 or more satellites in well-defined orbits at an altitude of approximately 26,500 km. These satellites continually transmit microwave L-band radio signals in two frequency bands, centered at 1575.42 MHz and 1227.6 MHz, denoted as L1 and L2 respectively. These signals include timing patterns relative to the satellite's onboard precision clock (which is kept synchronized by a ground station) as well as a navigation message giving the precise orbital positions of the satellites. GPS receivers process the radio signals, compute ranges to the GPS satellites, and by triangulating these ranges, the GPS receiver determines its position and its internal clock error. Different levels of accuracies can be achieved depending on the techniques deployed. This invention specifically targets the sub-centimeter accuracies achievable on a remote and possibly mobile GPS receiver by processing carrier phase observations both from the remote receiver and from one or more fixed-position reference stations. This procedure is often referred to as Real Time Kinematic or RTK.
To gain a better understanding of the accuracy levels achievable by using the GPS system, it is necessary to understand the two types of signals available from the GPS satellites. The first type of signal includes both the Coarse Acquisition (C/A), which modulates the L1 radio signal and precision (P) code, which modulates both the L1 and L2 radio signals. These are pseudorandom digital codes that provide a known pattern that can be compared to the receiver's version of that pattern. By measuring the time-shift required to align the pseudorandom digital codes, the GPS receiver is able to compute an unambiguous pseudo-range to the satellite. Both the C/A and P codes have a relatively long “wavelength,” of about 300 meters (1 microsecond) and 30 meters (0.1 microsecond), respectively. Consequently, use of the C/A code and the P code yield position data only at a relatively coarse level of resolution.
The second type of signal utilized for position determination is the carrier signal. The term “carrier”, as used herein, refers to the dominant spectral component which remains in the radio signal after the spectral content caused by the modulated pseudorandom digital codes (C/A and P) is removed. The L1 and L2 carrier signals have wavelengths of about 19 and 24 centimeters, respectively. The GPS receiver is able to “track” these carrier signals, and in doing so, make measurements of the carrier phase to a small fraction of a complete wavelength, permitting range measurement to an accuracy of less than a centimeter.
In stand-alone GPS systems that determine a receiver's position coordinates without reference to a nearby reference receiver, the process of position determination is subject to errors from a number of sources. These include errors in the satellite's clock reference, the location of the orbiting satellite, ionospheric refraction errors (which delay GPS code signals but advance GPS carrier signals), and tropospheric induced delay errors. Prior to May 2, 2002, a large portion of the satellite's clock error, referred to as Selective Availability (SA) was purposefully induced by the U.S. Department of Defense to limit GPS accuracy to non-authorized users. SA would often cause positioning errors exceeding 40 meters, but even today, with SA off, errors caused by the ionosphere can be tens of meters. The above mentioned error sources (satellite clock and satellite position errors, ionosphere refraction, tropospheric delay and SA) are common-mode errors for two receivers that are nearby. That is, the errors caused by these sources are nearly the same for each receiver
Another error source, which is present in the carrier phase measurements, is the clock difference between the two receivers. This clock difference applies to all satellite measurements equally, and as such, can be eliminated by what is known as double differencing. This is where one of the satellites is used as a reference and the other satellite measurements are compared to it. This reduces the number of usable satellite measurements by one. As will be explained later, the more measurements available the better the final solution.
To overcome the common-mode errors of the stand-alone GPS system, many kinematic positioning applications make use of multiple GPS receivers. A reference receiver located at a reference site having known coordinates receives the satellite signals simultaneously with the receipt of signals by a remote receiver. Depending on the separation distance, the common-mode errors mentioned above will affect the satellite signals equally for the two receivers. By taking the difference between signals received both at the reference site and at the remote location, common-mode errors are effectively eliminated. This facilitates an accurate determination of the remote receiver's coordinates relative to the reference receiver's coordinates.
The technique of differencing signals is known in the art as differential GPS (DGPS) or differential GNSS (DGNSS). The combination of DGPS with precise measurements of carrier phase leads to position accuracies of less than one centimeter root-mean-squared (centimeter-level positioning). When DGPS/DGNSS positioning utilizing carrier phase is done in real-time while the remote receiver is potentially in motion, it is often referred to as Real-Time Kinematic (RTK) positioning.
One of the difficulties in performing RTK positioning using carrier signals is the existence of an inherent ambiguity that arises because each cycle of the carrier signal looks exactly alike. Therefore, the range measurement based upon carrier phase has an ambiguity equivalent to an integral number of carrier signal wavelengths. Various techniques are used to resolve the ambiguity, which usually involves some form of double-differencing of the carrier measurements. Once ambiguities are solved, however, the receiver continues to apply a constant ambiguity correction to a carrier measurement until loss of lock on that carrier signal or partial loss of lock that results in a carrier cycle slip.
Regardless of the technique deployed, the problem of solving integer ambiguities, in real-time, is always faster and more robust if there are more measurements upon which to discriminate the true integer ambiguities. Robust means that there is less chance of choosing an incorrect set of ambiguities. The degree to which the carrier measurements collectively agree to a common location of the GPS receiver is used as a discriminator in choosing the correct set of ambiguities. The more carrier phase measurements that are available, the more likely it is that the best measure of agreement will correspond to the true (relative to the reference GPS) position of the remote GPS receiver. One method, which effectively gives more measurements, is to use carrier phase measurements on both L1 and L2. The problem though is that it is relatively difficult to track L2 because it is modulated only by P code and the United States Department of Defense has limited access to P code modulation by encrypting the P code prior to transmission. Some receivers are capable of applying various cross-correlation techniques to track the P code on L2, but these are usually more expensive receivers than L1 only capable receivers.
Other approaches have been employed to gain additional measurements on GPS receivers utilizing additional satellites and other types of satellite systems such as the GLONASS system, pseudolites, or Low Earth Orbit (LEO) satellite signals in an attempt to enhance RTK. Nevertheless, it is often desired to perform RTK on low-cost L1 only receivers that do not have access to the GLONASS system, pseudolites, or LEO satellite signals.
Disclosed herein in an exemplary embodiment is a method for measuring relative position of fixed or slow-moving points in close proximity comprising: receiving a set of satellite signals with a first receiver corresponding to a first position; receiving a related set of satellite signals with a second receiver corresponding to a second position; and computing a position of the second position based on at least one of code phase and carrier phase differencing techniques. At least one of: a clock used in the first receiver and a clock used in the second receiver are synchronized to eliminate substantial clock variation between the first receiver and the second receiver; and the first receiver and the second receiver share a common clock.
Also disclosed herein in another exemplary embodiment is a system for measuring relative position of fixed or slow-moving points in close proximity comprising: a first receiver in operable communication with a first antenna configured to receive a first plurality of satellite signals at a first position; and a second receiver in operable communication with a second antenna configured to receive a second plurality of satellite signals at a second position; and at least one of the first receiver and the second receiver computing a position corresponding to a position of the second antenna based on at least one of code phase and carrier phase differencing techniques. At least one of: a clock used in the first receiver and a clock used in the second receiver are synchronized to eliminate clock variation between the first receiver and the second receiver, and the first receiver and the second receiver share a common clock.
Further, disclosed herein in yet another exemplary embodiment is a system for measuring relative position of fixed or slow-moving points in close proximity comprising: a means for receiving a set of satellite signals with a first receiver corresponding to a first position; a means for receiving a related set of satellite signals with a second receiver corresponding to a second position; and a means for computing a position of the second position based on at least one of code phase and carrier phase differencing techniques. At least one of: a clock used in the first receiver and a clock used in the second receiver are synchronized to eliminate clock variation between the first receiver and the second receiver, and the first receiver and the second receiver share a common clock.
Also disclosed herein in yet another exemplary embodiment is a storage medium encoded with a machine-readable computer program code, the code including instructions for causing a computer to implement the abovementioned method for measuring relative position of fixed or slow-moving points in close proximity.
Further disclosed herein in yet another exemplary embodiment is a computer data signal, the computer data signal comprising code configured to cause a processor to implement the abovementioned method for measuring relative position of fixed or slow-moving points in close proximity. Still further, applications are disclosed for the system and method using L1 receivers and RTK. Additional aspects and applications include a localized RTK.surveying system and method and a digital tape measure.
Referring now to the drawings wherein like elements are numbered alike in the several figures:
As required, detailed embodiments of the present invention are disclosed herein; however, it is to be understood that the disclosed embodiments are merely exemplary of the invention, which may be embodied in various forms. Therefore, specific structural and functional details disclosed herein are not to be interpreted as limiting, but merely as a basis for the claims and as a representative basis for teaching one skilled in the art to variously employ the present invention in virtually any appropriately detailed structure. Certain terminology will be used in the following description for convenience in reference only and will not be limiting. For example, up, down, front, back, right and left refer to the invention as oriented in the view being referred to. The words “inwardly” and “outwardly” refer to directions toward and away from, respectively, the geometric center of the embodiment being described and designated parts thereof. Global navigation satellite systems (GNSS) are broadly defined to include the global positioning system (GPS, U.S.), Galileo (proposed), GLONASS (Russia), Beidou (China), Compass (proposed), the Indian Regional Navigational Satellite System (IRNSS), QZSS (Japan, proposed) and other current and future positioning technology using signals from satellites, with or without augmentation from terrestrial sources. Inertial navigation systems (INS) include gyroscopic (gyro) sensors, accelerometers and similar technologies for providing output corresponding to the inertia of moving components in all axes, i.e. through six degrees of freedom (positive and negative directions along transverse X, longitudinal Y and vertical Z axes). Yaw, pitch and roll refer to moving component rotation about the Z, X and Y axes respectively. Said terminology will include the words specifically mentioned, derivatives thereof and words of similar meaning.
In a first alternative embodiment, this invention includes two receivers, which either share the same clock, or have a clock synchronization technique to eliminate the receiver clock errors. The reference receiver (herein called the master or base) is connected to a single antenna whereas the slave receiver, which is clock synchronized with the master, has a multitude of antennas connected to it, which are switched in and out to take a measurement at each antenna location.
The GPS slave (e.g., rover) receiver computes the location vector from a double or single difference of the GPS rover and reference carrier phases for a plurality of GNSS satellites. As the receivers are either co-located or have a link, the raw measurements from the slave antennas are sent to the master for computation (of course any receiver or even a separate computer could perform this computation). This eliminates the need for a radio link between the master and slave receivers as is required in prior art RTK.
According to a more specific aspect of the present invention, in order to solve the integer ambiguity problem, the master selects the slave antenna to be measured based on the GPS satellite almanac to provide the best geometry (or one of the best) and based on its time slot. The master also has the slave antenna's position stored to provide an immediate calculation of the carrier cycle ambiguity to each satellite. Position calculation then follows conventional RTK GPS practice of using single or double difference equations involving the total phase distance to each satellite to solve the relative location of the slave antenna with respect to the master antenna. As previously described, there is no clock difference between the two receivers (or the clock difference is known and nearly constant) so double differencing may not be required. There may however be a significant delay through the coaxial cable to each slave antenna. This also can be stored and the delay removed to the measurements. A temperature drift may be noticed which will gradually change the delay, but this too can be eliminated by the addition of a thermocouple to determine the ambient temperature around the cable and antennas. By doing this, all satellite measurements may be used in the solution.
Another advantage of eliminating double differencing is that ambiguity search routines will not have to form linear combinations to decorrelate the measurement data. When it is possible to use single differences, they are generally preferred over double difference equations. The double difference cross-correlations are more difficult to deal with mathematically, say in a measurement covariance matrix of a Kalman filter. Single difference equations result in a measurement covariance matrix having zero cross correlation. However, accuracy can be achieved with both approaches.
Referring now to
The master and slave receivers 12, 14 are configured to either share the same clock 17, or include a clock synchronization system (SYNC connection). This technique facilitates elimination of the receiver clock errors. The CPU 13 computes a location vector based on a double or single difference of the GNSS code and/or carrier phases for the master receiver 12, the slave receiver 14 and a plurality of GPS satellites 8. As the master and slave receivers 12 and 14 are either co-located or have a link, the raw measurements from the slave antennas are sent to the CPU 13 for computation (of course any receiver or even a separate computer could perform this computation). This eliminates the need for a radio link between the master and slave receivers 12, 14 as is required in existing RTK applications. Moreover, in another exemplary embodiment, satellite signals from multiple antennas with a known dimensional separation may be combined to achieve receiving an optimal set of satellite 8 signals for a given location. Such an approach will be beneficial for instances when insufficient data is available from a single antenna or a less desirable set of satellite 8 signals is all that is available. In this way, a location may still be computed despite poor satellite 8 geometry, obstructions, and the like.
Advantageously, in an exemplary embodiment, rather than increasing the number of measurements, a reduction in the number of unknowns is achieved by eliminating the clock errors between the reference receiver 12 and the rover 14 (or master and slave). This approach yields an even greater advantage than adding measurements, unless a substantial number of measurements could readily be added. In addition, an exemplary embodiment as disclosed herein significantly improves the ability to calculate the integer ambiguities to each satellite 8. It will be appreciated that because the slave antennas 18 are presumed to move far less than a fraction of a carrier cycle (e.g., 19 cm) between measurements, the positions of each slave antenna 18 location may be stored and then later retrieved as needed to facilitate the immediate calculation of the integer ambiguities.
In order to solve the integer ambiguity problem with current RTK applications, the master receiver 12 selects a particular slave antenna 18 to be measured based on the GPS satellite almanac to provide the best geometry (or one of the best) and based on its time slot. The master receiver 12 also has the slave antenna's position stored (as stated above) to provide an immediate calculation of the carrier cycle ambiguity to each satellite 8. Position calculation then follows RTK GNSS practice of using single or double difference equations involving the total phase distance to each satellite 8 to solve the relative location of slave antenna 18 with respect to the master antenna 16. One such methodology for GNSS positioning employing RTK is taught by Whitehead, U.S. Pat. No. 6,469,663 the contents of which are incorporated by reference herein in their entirety. As previously described, there is no clock difference between the two receivers 12 and 14 (or the clock difference is known and nearly constant) so double differencing may not be required. It will however, be readily appreciated that there may be a significant delay through a coaxial cable 20 to each slave antenna 18. This delay is dependent upon the selected position for each antenna relative to the master (e.g., the length of cable 20 to reach each antenna 18). Advantageously, the delay may readily be measured and stored and the delay mathematically removed to correct the measurements. Moreover, selected antennas 18 may exhibit a temperature drift that may result in a gradual change of the expected delay. However, advantageously, this too may be readily eliminated by the addition of a temperature sensor 15 connected to a thermocouple 22 to determine the ambient temperature around the cable 20 and the antennas 16 and 18. Advantageously, by employing the abovementioned correction and compensation schemes, all satellite 8 measurements may be used to formulate the solution.
Another advantage of eliminating double differencing is that ambiguity search routines will not have to form linear combinations to decorrelate the measurement data. When it is possible to use single differences, they are generally preferred over double difference equations. The double difference cross-correlations are more difficult to deal with mathematically, say in a measurement covariance matrix of a Kalman filter. Single difference equations result in a measurement covariance matrix with zero cross-correlation, which facilitates computation of the ambiguities. The accuracy of both approaches should be substantially similar. However, single differencing is an easier process.
Yet another exemplary embodiment as an enhancement to the abovementioned embodiments uses the capability to take advantage of the slow dynamics of antenna motion by averaging over periods of time, thereby reducing multipath contributions (which are time varying) and poor satellite 8 geometries. In fact, it will be appreciated that the master receiver 12 is constantly tracking the satellites 8 and may further be employed to select the best time of day, e.g., the best constellation (the GNSS satellites 8 orbit in a 12 hour cycle), to perform the measurements based on its knowledge of the slave antennas' 18 positions and the satellites currently visible. Additionally the master receiver 12 may select two separate times of day to provide two independent satellite position constellations for performing the measurements. This would reduce the amount of averaging time required, yet still provide the multipath and poor satellite geometry reduction benefits. Overall, such an approach may be employed to reduce power consumption requirements as the receiver 12 would not have to be averaging continuously for a twelve hour period. Power consumption reduction can be beneficial, especially at remote sites.
Referring once again to
As mentioned previously, phase drift and delay can result from the coaxial cables 20, which may be removed and/or compensated by using a temperature sensor 15 connected to a thermocouple 22 to measure the temperature. A look-up table may be employed by the CPU 13 that has stored (alternatively a simple formula may be used to save memory) phase delay difference versus ambient temperature. An alternative embodiment could use equivalent coaxial cable 20 lengths to all antennas 16, 18 so that any temperature or other loss and drift effects would be matched and therefore cancelled in the single difference calculation.
Normally in order to solve for integer ambiguities from GNSS satellite 8 signals, double differencing is used to bring forth the integer nature of the ambiguities by removing other non-integer sources of error such as clock and atmospheric delays from the measurements. To illustrate, consider four equations describing pseudo-ranges resulting from measurements of carrier phase on receivers denoted m and n for the slave and master, respectively:
φmi=Rmi+τsvi+Ai+Bm+Nmi
φni=Rni+τsvi=Ai+Bn+Nni
φmk=Rmk+τsvk=Ak+Bm+Nmk
φnk=Rnk+τsvk=Ak+Bn+Nnk
Here φmi is the measured pseudorange from rover receiver m to satellite i, φni is the measured pseudorange from reference receiver n to satellite i, φmk is the measured pseudorange from rover receiver m to satellite k, and φnk is the measured pseudorange from reference receiver n to satellite k. Each pseudorange is actually a measure of the summation a number of different physical quantities all of which shall be expressed in units of carrier cycles at L1 (roughly 19 cm).
Specifically, in the first of these equations, the term Rmi is the true geometric range from receiver m to satellite i, τsvi is the clock error of satellite i, Ai is the atmospheric delays, which are associated with satellite i, Bm is the clock error of receiver m, and Nmi is the integer ambiguity in the range measurement from receiver m to satellite i. Similar notation applies to the remaining three equations. For simplicity, these equations do not show noise effects such as errors caused by receiver thermal noise or multipath noise.
Consider first applying the single difference. If the first two equations are differenced:
φmi−φni=Rmi−Rni+Bm−Bn+Nmi−Nni
Similarly, differencing the second two equations yields:
φmk−φnk=Rmk−Rnk+Bm−Bn+Nmk−Nnk
The satellite common errors, such as satellite clock, .tau.sv.sup.i and atmosphere, A.sup.i (atmosphere is common if we assume relative close proximity of receivers m and n) are removed in the single difference. As the clock errors B.sub.m are common these term will also cancel out, leaving:
φmi−φni=Rmi−Rni+Nmi
Since the ambiguities are all integers that can be lumped together into a single term, it may be written:
φmi−φni−Rmi−Rni+Nmn
where
Nmn=NmiNni
This shows that single differencing the pseudorange measurements removes common atmospheric errors from the equations while leaving simple combinations of the geometric ranges and integer ambiguities, and clock errors drop out due to the synchronization of the two receivers. For N satellites in common view of the master (reference) and slave (remote) receivers 12 and 14 respectively, there are N such single-difference equations that can be formed without causing mathematical redundancy. Whereas double differencing, to eliminate clock biases in receivers, which are not clock synchronous, results in only N−1 equations. This gives rise to N unknown integer ambiguities that must be solved in addition to the 3 unknown coordinates (X,Y,Z) of the GPS receiver. Note that each geometric range term, for example R.sub.m.sup.i, is a function only of the receiver's position and the transmitting satellite's position. Specifically:
where Xrecvm, YrecvmZrecvm are the Cartesian coordinates of the receiver m at the time reception of the signal from satellite i, whose coordinates are Xsati, Ysati, Zsati at the time of signal transmission. In the problem at hand, only the selected slave's antenna's 18 position is unknown. Once the ambiguities are determined, only the selected antenna's 3-coordinates of position are unknown and these are easily solved using a mathematical approach such as Least Squares.
Every time a new slave antenna 18 is selected, the integer ambiguities must be solved. This is a complex process and can be very time consuming if the position is unknown. However, in this instance, it will be appreciated that the movements to be measured are on the order of less than a quarter of a wavelength (5 cm) between measurements. This limitation permits a rapid calculation of the integer ambiguities since the master receiver 12 or the CPU 13 “knows” the satellite's position and the selected antenna's position well enough to directly calculate ambiguities. Such an approach will greatly reduce the time utilized to solve for the integer from up to 10 minutes to a second or less. Cycle slips, which result usually from motion which the receiver failed to track properly and therefore slipped from one ambiguity to another is also greatly reduced due to the very low dynamics of the selected antenna location. An added benefit of the low dynamics is the receiver can integrate the measurements over a long period of time and narrow the carrier tracking loop bandwidth to reduce noise.
As mentioned previously, it should be appreciated that another source of error in applying RTK positioning, especially when solving for integer ambiguities over long baselines, is non-common atmospheric propagation delays on the signals received by the slave (rover) 14 and master (reference) receivers 12. Since differencing cannot eliminate these non-common delays, the next best alternative is to estimate or model their effects. However, in an exemplary RTK embodiment, the slave antennas 18 and the master antenna 16 will most likely be within 5 kilometers of each other and at this distance the atmospheric effects are minimal and may readily be ignored. An orientation device 32, such as a compass or some other non-GNSS orientation device, can be affixed to a structure of interest to determine its attitude or orientation and to provide a corresponding signal to the CPU 13 for processing in connection with GNSS ranging data received via the receivers 12, 14.
A further advantage of this technique is that it permits a carrier phase based solution even when a large portion of the sky, and therefore the visible satellites, are obscured by a wall, dam (
Referring now to
Further assumptions may be made of the anticipated motion of the monitoring point at the selected slave antenna 18 to further reduce the number of measurements required. For example, the motion is of a dam is generally horizontally away from the pressure excerpted by the body of water behind it. By performing the calculation only in this direction, a single satellite may be enough to perform a measurement. This is obvious when looking at this equation:
As explained previously the satellite position (Xsat, Ysat and Zsat) are known, and if the receiver assumes there is minimal motion in Y and Z, then there is only one unknown left. Of course, additional satellites are highly desired to reduce noise and errors and to help detect any false or erroneous readings from throwing the solution off.
Another area of concern for running a long length of coaxial cable 20 to the antennas 16, 18, other than phase delay, which was addressed earlier, is attenuation. In yet another exemplary embodiment, the slave antennas 18 may be configured as active antennas, e.g., antennas that include an internal Low Noise Amplifier (LNA). In a receiver design, the noise figure is often important, and comprises a combination of the noise temperature before the first LNA, the LNA noise figure and subsequent losses divided by the LNA gain. Subsequent amplifier gains will reduce following noise temperature (T) contributions by their gain as is shown in the equation below:
where: CL refers to cable losses in linear terms, that is −10 dB is 0.1,
Glnan refers to gain of LNAn in linear terms so a gain of 20 dB is 100,
T(LNAn) refers to the noise temperature in Kelvin of stage n.
Noise Figure (F) is related to noise temperature by:
F (dB)=10.times.LOG((1+T)/Tamb)
Where Tamb refers to the reference temperature, typically 290 K (20 Celsius).
As an example, a typical low loss coaxial cable (RG6 type) has 20 dB (CL=0.01) of attenuation every 100 meters. The noise temperature of the antenna and LNA is 170 K (2 dB noise figure), the gain of the first LNA is 30 dB (or 1000). Subsequent LNA's have the same noise temperature and a gain of 12 dB (15.8). If each antenna is 50 meters apart the losses are −10 dB. After five stages the noise temperature of the system is:
T5=T1+T2/(CL1×G1)+T3/(CL1×C12×G1×G2)+T4/(CL1×CL2×C13×G1×G2×G3)+T5/(CL1×C12×C13×C14×G1×G2×G3×G4)
T5=190+190/100+190/158+190/250+190/395
T5=194 K
F5=2.22 dB
This is compared to the first stage, which would have a noise figure of 2 dB. A GPS receiver such as the master receiver 12, or slave receiver 14 can operate with a noise figure of up to 3.5 dB without suffering significant degradation. As can be seen, additional stages will have diminishing contributions. The total gain will be increasing by only 2 dB each step, so after 1 km, in this example, the maximum gain will be 68 dB, the gain of the first stage is 30 dB, the Automatic Gain Control of the receiver can remove this difference easily. Also after 20 stages (1 km) the total noise temperature in this example would be T(1 km)=194.7 K, an insignificant increase.
Further, in a marine vessel (e.g., barge) 71 positioning system 70 comprising another exemplary embodiment shown in
Advantageously, a position solution employing this approach would not necessarily have to utilize carrier-phase based differencing (it could be code phase). An application might include positioning on a marine vessel 71, such as a barge, where the location of a reference point is needed but there are cranes, towers and/or a superstructure 72 blocking the satellite view so that there is not one optimum GNSS location. However, by placing an antenna 18 on either side of the barge 71, enough satellites 8 could be tracked by the combined antenna 16, 18 arrangement that a solution of the location of some reference point on the barge 71 could still be obtained. Furthermore, on a barge 71, the orientation device 32, such as a compass, could also be used to give orientation, thus removing another unknown from the relative location of two receivers (e.g., 12, 14 in the receiver unit 74) rather than solving a relative location of one receiver with respect to the other by using the combined receivers 12, 14 to produce one non-relative location. The system shown in
The receivers 90, 92 can comprise L1-only receivers, which tend to be less expensive than the more sophisticated dual frequency (L1/L2) receivers, which are commonly used for RTK fine positioning. The base receiver unit 82 is preferably equipped with a single base antenna 98 and the rover receiver unit 84 is preferably equipped with at least two rover antennas 100. Although the base receiver unit 82 could be equipped with multiple antennas (e.g., for reducing multipath errors) and the rover receiver unit 84 could be equipped with a single antenna, the normal preferred configuration includes multiple rover antennas 100 (Ar1, Ar2, . . . Arn) whereby the attitude (orientation) of the rover can be determined using GNSS ranging techniques. Attitude/orientation of the base is not generally needed for rover positioning.
The rover attitude information facilitates resolving integer ambiguities in GNSS positioning solutions by first solving for locations of the rover antennas 100 with respect to each other (an attitude solution). Next, using the known rover antenna relative locations, and nonrelative ambiguities, the system 80 solves for the global ambiguities using observations taken at each antenna 98, 100. The number of observations is thereby significantly increased over conventional RTK systems. The global ambiguities are the ambiguities of one rover antenna 100 that allow it be located in a global sense, i.e. relative to the base receiver unit 82.
The steps of the GNSS positioning method using the system 80 comprise:
Compared to conventional RTK techniques, the method described above provides twice as many equations (for a rover with two antennas 100) for the same number of unknowns x1 and N1. N1 is referred to as the global ambiguity, which is easier to solve for with more equations. For example, see Whitehead U.S. Pat. No. 6,469,663 for Method and System for GPS and WAAS Carrier Phase Measurements for Relative Positioning, which is incorporated herein by reference.
The base 112 can optionally have a user interface 120, which can include a graphical user interface (GUI), such as an LED device, a display screen, indicator lights, digital readouts, a printer, etc. Input can also be provided at the user interface 120 via suitable switches, keys, etc. A rover 122 includes a rover receiver 124 connected to the base antenna 114 via an RF cable 125 and to a rover antenna 126 (Ar). The rover 122 can optionally include a graphical user interface (GUI) 128, as described above, a tripod 116 and a marking device 118. The receiver 124 can optionally be mounted on either the base 112 or the rover 122 and either or both of the base 112 and the rover 122 can include a suitable user interface 120 or 128, as described above. The base 112 location can be a specific, surveyed location if necessary for absolute positioning. If only relative accuracy is required, the absolute location of the base 112 is generally not required. The base antenna 114 is tethered to the rover receiver 124 by the RF cable 125, which can have a length of 100 meters or more as appropriate to accommodate surveying applications.
The system 110 is adapted for making localized surveys within the range of the RF cable 125. The GNSS ranging signals received by the two antennas 114 and 126 are processed by the same receiver 124 with a single clock, thereby avoiding the need for a second clock or clock synchronization associated with a second receiver. Signal delays associated with the RF cable 125 tend to be relatively constant due to its predetermined length and can be accommodated with a suitable offset value. Ambiguity resolution benefits from this arrangement because a clock offset, which would otherwise produce another unknown and increase the position solution complexity, is constant whereby the GNSS observations of the antennas 114, 126 can be more efficiently processed by the receiver 124 to provide a position solution (either relative or absolute) for the antennas 114, 126. Eliminating an unknown associated with a clock offset improves robustness and increases accuracy.
The effective range of the system 110 can be effectively increased by marking points 130 with the marking device 118 of the rover 122 near the end of its tethered travel, and then placing the base 112 on the marked points 130 and repeating the marking procedure with the rover 122 from the newly redefined base point. User interfaces 120, 128, which can include various I/O devices and displays, are adapted for uploading data files, such as computer aided drafting and design (CADD) files which can correspond to a surveyed project, such as a building or other structure. For example, a CADD file could be uploaded with a schematic of a building foundation. The user interface 128 could show the position of the rover 122 with respect to the schematic drawing. Key reference locations 130 of an outline 131 could then be marked at the base 112 and/or rover 122 locations, using ground stakes, paint or other suitable marking means applied with the marking devices 118. The rover 122 can include a programmable microprocessor 134 for computing position solutions (e.g., using ranging information from the receiver 124 and various correction techniques, which are well-known in the art), computing distances, computing areas, storing information, running routines, interacting with the user interfaces 120, 128, etc. The base user interface 120 can be eliminated whereby the base 112 includes only an antenna 114, a device for locating it on a particular point, such as a tripod 116, and/or a point marking device 118. In this configuration all of the user interface operations can occur via the rover 122. Alternatively, the base user interface 120 can be connected to the microprocessor 132 and used alternately with the base 112 and the rover 122 exchanging functions as the system 110 stakes out a perimeter or sequentially measures a relatively long distance (i.e. longer than the RF cable 125) comprising a chain-linked series of individual measurements.
An example of a user interface 120, 128 is shown in
Another exemplary application involves laying out the configuration of a foundation, an in-ground swimming pool or some other structure. The outline can be transferred as a .DXF (or some other suitable file format) file to the rover 122, which can comprise a handheld unit for maximum portability. The circular lightbar 134 (
The locating system 110 is adaptable to a wide range of projects requiring precise point locations and attitude. For example, from a GNSS-defined centerpoint reference location, circles and arcs with constant radii can be defined. 3-D capabilities can be useful for structures requiring vertical slope, e.g. paved surfaces requiring positive slopes for drainage purposes. Sports fields and courts can also be expeditiously laid out and relocated. Still further, retractable and adjustable-length flexible members, such as surveying chains, can be utilized for fixed-length applications as described above. The software installed on the microprocessor 132 can create a digital 2-D or 3-D model of the outline or structure laid out using the system 110, with GNSS-defined positions corresponding to nodes or intersections of structural elements, such as walls. In a digital tape measure mode of operation, straight lines and other shapes can be measured off to any desired length, radius, or other parameter. Areas can be calculated from closed geometric shapes, such as polygons, circles, ellipses, etc. The captured and recorded data can be useful for creating as-built drawing files and recording material usages, such as yards of poured concrete. Surveying applications could include inputs comprising compass bearings with vertical slopes in expressed degrees or rise-over-run ratios. The I/O user interfaces 120, 128 can include “marking” functions activated by switches or simply placement of the base 112 or the rover 122. An audible signal can be provided for notifying the user of a “marked” location. Plotted outputs can include plans, elevation profiles, databases, etc.
The satellite systems as discussed herein may include but not be limited to Wide Area Augmentation System (WAAS), Global Navigation Satellite System (GNSS) including GPS, GLONASS and other satellite ranging technologies. The term WAAS is used herein as a generic reference to all GNSS augmentation systems which, to date, include three programs: WAAS (Wide Area Augmentation System) in the USA, EGNOS (European Geostationary Navigation Overlay System) in Europe and MSAS (Multifunctional Transport Satellite Space-based Augmentation System) in Japan. Each of these three systems, which are all compatible, consists of a ground network for observing the GPS constellation, and one or more geostationary satellites.
It will be appreciated that while a particular series of steps or procedures is described as part of the abovementioned process, no order of steps should necessarily be inferred from the order of presentation. For example, the process includes receiving one or more sets of satellite signals. It should be evident that the order of receiving the satellite signals is variable and could be reversed without impacting the methodology disclosed herein or the scope of the claims.
It should further be appreciated that while an exemplary partitioning functionality has been provided, it should be apparent to one skilled in the art, that the partitioning could be different. For example, the control of the master receiver 12 and the slave receiver 14 could be integrated with either receiver, or in another unit. The processes may, for ease of implementation, be integrated into a single unit. Such configuration variances should be considered equivalent and within the scope of the disclosure and claims herein.
The disclosed invention may be embodied in the form of computer-implemented processes and apparatuses for practicing those processes. The present invention can also be embodied in the form of computer program code containing instructions embodied in tangible media, such as floppy diskettes, CD-ROMs, hard drives, or any other computer-readable storage medium, wherein, when the computer program code is loaded into and executed by a computer, the computer becomes an apparatus for practicing the invention. The present invention can also be embodied in the form of computer program code, for example, whether stored in a storage medium, loaded into and/or executed by a computer, or as data signal transmitted, whether a modulated carrier wave or not, over some transmission medium, such as over electrical wiring or cabling, through fiber optics, or via electromagnetic radiation, wherein, when the computer program code is loaded into and executed by a computer, the computer becomes an apparatus for practicing the invention. When implemented on a general-purpose microprocessor, the computer program code segments configure the microprocessor to create specific logic circuits.
While the description has been made with reference to exemplary embodiments, it will be understood by those of ordinary skill in the pertinent art that various changes may be made and equivalents may be substituted for the elements thereof without departing from the scope of the disclosure. In addition, numerous modifications may be made to adapt the teachings of the disclosure to a particular object or situation without departing from the essential scope thereof. Therefore, it is intended that the Claims not be limited to the particular embodiments disclosed as the currently preferred best modes contemplated for carrying out the teachings herein, but that the Claims shall cover all embodiments falling within the true scope and spirit of the disclosure.
This application is a continuation-in-part of and claims the benefit of: U.S. patent applications Ser. No. 12/355,776 (4007.2), filed Jan. 17, 2009, which is a continuation-in-part of and claims the benefit of Ser. No. 12/171,399 (4007.1), filed Jul. 11, 2008, which is a continuation-in-part of and claims the benefit Ser. No. 10/804,758 (4007), filed Mar. 19, 2004, now U.S. Pat. No. 7,400,956; and Ser.No. 12/171,399 (4011.1), filed Jul. 11, 2008, which is a continuation-in-part of and claims the benefit of Ser. No. 10/828,745 (4011), filed Apr. 21, 2004 now abandoned; and U.S. Provisional Patent Applications No. 60/456,146, filed Mar. 20, 2003, and No. 60/464,756, filed Apr. 23, 2003. The contents of all of the aforementioned applications are incorporated by reference herein in their entireties.
Number | Name | Date | Kind |
---|---|---|---|
3585537 | Rennick et al. | Jun 1971 | A |
3596228 | Reed, Jr. et al. | Jul 1971 | A |
3727710 | Sanders et al. | Apr 1973 | A |
3815272 | Marleau | Jun 1974 | A |
3899028 | Morris et al. | Aug 1975 | A |
3987456 | Gelin | Oct 1976 | A |
4132272 | Holloway et al. | Jan 1979 | A |
4170776 | MacDoran et al. | Oct 1979 | A |
4180133 | Collogan et al. | Dec 1979 | A |
4398162 | Nagai | Aug 1983 | A |
4453614 | Allen et al. | Jun 1984 | A |
4529990 | Brunner | Jul 1985 | A |
4637474 | Leonard | Jan 1987 | A |
4667203 | Counselman, III | May 1987 | A |
4689556 | Cedrone | Aug 1987 | A |
4694264 | Owens et al. | Sep 1987 | A |
4710775 | Coe | Dec 1987 | A |
4714435 | Stipanuk et al. | Dec 1987 | A |
4739448 | Rowe et al. | Apr 1988 | A |
4751512 | Longaker | Jun 1988 | A |
4769700 | Pryor | Sep 1988 | A |
4785463 | Janc et al. | Nov 1988 | A |
4802545 | Nystuen et al. | Feb 1989 | A |
4812991 | Hatch | Mar 1989 | A |
4858132 | Holmquist | Aug 1989 | A |
4864320 | Munson et al. | Sep 1989 | A |
4894662 | Counselman | Jan 1990 | A |
4916577 | Dawkins | Apr 1990 | A |
4918607 | Wible | Apr 1990 | A |
4963889 | Hatch | Oct 1990 | A |
5031704 | Fleischer et al. | Jul 1991 | A |
5100229 | Lundberg et al. | Mar 1992 | A |
5134407 | Lorenz et al. | Jul 1992 | A |
5148179 | Allison | Sep 1992 | A |
5152347 | Miller | Oct 1992 | A |
5155490 | Spradley et al. | Oct 1992 | A |
5155493 | Thursby et al. | Oct 1992 | A |
5156219 | Schmidt et al. | Oct 1992 | A |
5165109 | Han et al. | Nov 1992 | A |
5173715 | Rodal et al. | Dec 1992 | A |
5177489 | Hatch | Jan 1993 | A |
5185610 | Ward et al. | Feb 1993 | A |
5191351 | Hofer et al. | Mar 1993 | A |
5202829 | Geier | Apr 1993 | A |
5207239 | Schwitalla | May 1993 | A |
5239669 | Mason et al. | Aug 1993 | A |
5255756 | Follmer et al. | Oct 1993 | A |
5268695 | Dentinger et al. | Dec 1993 | A |
5293170 | Lorenz et al. | Mar 1994 | A |
5294970 | Dornbusch et al. | Mar 1994 | A |
5296861 | Knight | Mar 1994 | A |
5311149 | Wagner et al. | May 1994 | A |
5323322 | Mueller et al. | Jun 1994 | A |
5334987 | Teach | Aug 1994 | A |
5343209 | Sennott et al. | Aug 1994 | A |
5345245 | Ishikawa et al. | Sep 1994 | A |
5359332 | Allison et al. | Oct 1994 | A |
5361212 | Class et al. | Nov 1994 | A |
5365447 | Dennis | Nov 1994 | A |
5369589 | Steiner | Nov 1994 | A |
5375059 | Kyrtsos et al. | Dec 1994 | A |
5390124 | Kyrtsos | Feb 1995 | A |
5390125 | Sennott et al. | Feb 1995 | A |
5390207 | Fenton et al. | Feb 1995 | A |
5416712 | Geier et al. | May 1995 | A |
5442363 | Remondi | Aug 1995 | A |
5444453 | Lalezari | Aug 1995 | A |
5451964 | Babu | Sep 1995 | A |
5467282 | Dennis | Nov 1995 | A |
5471217 | Hatch et al. | Nov 1995 | A |
5476147 | Fixemer | Dec 1995 | A |
5477228 | Tiwari et al. | Dec 1995 | A |
5477458 | Loomis | Dec 1995 | A |
5490073 | Kyrtsos | Feb 1996 | A |
5491636 | Robertson | Feb 1996 | A |
5495257 | Loomis | Feb 1996 | A |
5504482 | Schreder | Apr 1996 | A |
5511623 | Frasier | Apr 1996 | A |
5519620 | Talbot et al. | May 1996 | A |
5521610 | Rodal | May 1996 | A |
5523761 | Gildea | Jun 1996 | A |
5534875 | Diefes et al. | Jul 1996 | A |
5543804 | Buchler et al. | Aug 1996 | A |
5546093 | Gudat et al. | Aug 1996 | A |
5548293 | Cohen et al. | Aug 1996 | A |
5561432 | Knight | Oct 1996 | A |
5563786 | Torii | Oct 1996 | A |
5568152 | Janky et al. | Oct 1996 | A |
5568162 | Samsel et al. | Oct 1996 | A |
5583513 | Cohen | Dec 1996 | A |
5589835 | Gildea et al. | Dec 1996 | A |
5592382 | Colley | Jan 1997 | A |
5596328 | Stangeland | Jan 1997 | A |
5600670 | Turney | Feb 1997 | A |
5604506 | Rodal | Feb 1997 | A |
5608393 | Hartman | Mar 1997 | A |
5610522 | Locatelli et al. | Mar 1997 | A |
5610616 | Vallot et al. | Mar 1997 | A |
5610845 | Slabinski | Mar 1997 | A |
5612883 | Shaffer et al. | Mar 1997 | A |
5615116 | Gudat et al. | Mar 1997 | A |
5617100 | Akiyoshi et al. | Apr 1997 | A |
5617317 | Ignagni | Apr 1997 | A |
5621646 | Enge et al. | Apr 1997 | A |
5638077 | Martin | Jun 1997 | A |
5644139 | Allen et al. | Jul 1997 | A |
5664632 | Frasier | Sep 1997 | A |
5673491 | Brenna et al. | Oct 1997 | A |
5680140 | Loomis | Oct 1997 | A |
5684696 | Rao et al. | Nov 1997 | A |
5706015 | Chen et al. | Jan 1998 | A |
5717593 | Gvili | Feb 1998 | A |
5725230 | Walkup | Mar 1998 | A |
5731786 | Abraham et al. | Mar 1998 | A |
5739785 | Allison et al. | Apr 1998 | A |
5757316 | Buchler | May 1998 | A |
5765123 | Nimura et al. | Jun 1998 | A |
5777578 | Chang et al. | Jul 1998 | A |
5810095 | Orbach et al. | Sep 1998 | A |
5828336 | Yunck et al. | Oct 1998 | A |
5838562 | Gudat et al. | Nov 1998 | A |
5854987 | Sekine et al. | Dec 1998 | A |
5862501 | Talbot et al. | Jan 1999 | A |
5864315 | Welles et al. | Jan 1999 | A |
5864318 | Cosenza et al. | Jan 1999 | A |
5875408 | Bendett et al. | Feb 1999 | A |
5877725 | Kalafus | Mar 1999 | A |
5890091 | Talbot et al. | Mar 1999 | A |
5899957 | Loomis | May 1999 | A |
5906645 | Kagawa et al. | May 1999 | A |
5912798 | Chu | Jun 1999 | A |
5914685 | Kozlov et al. | Jun 1999 | A |
5917448 | Mickelson | Jun 1999 | A |
5918558 | Susag | Jul 1999 | A |
5919242 | Greatline et al. | Jul 1999 | A |
5923270 | Sampo et al. | Jul 1999 | A |
5926079 | Heine et al. | Jul 1999 | A |
5927603 | McNabb | Jul 1999 | A |
5928309 | Korver et al. | Jul 1999 | A |
5929721 | Munn et al. | Jul 1999 | A |
5930743 | Warren | Jul 1999 | A |
5933110 | Tang et al. | Aug 1999 | A |
5935183 | Sahm et al. | Aug 1999 | A |
5936573 | Smith | Aug 1999 | A |
5940026 | Popeck | Aug 1999 | A |
5941317 | Mansur | Aug 1999 | A |
5943008 | Van Dusseldorp | Aug 1999 | A |
5944770 | Enge et al. | Aug 1999 | A |
5945917 | Harry | Aug 1999 | A |
5949371 | Nichols | Sep 1999 | A |
5955973 | Anderson | Sep 1999 | A |
5956250 | Gudat et al. | Sep 1999 | A |
5969670 | Kalafus et al. | Oct 1999 | A |
5987383 | Keller et al. | Nov 1999 | A |
6014101 | Loomis | Jan 2000 | A |
6014608 | Seo | Jan 2000 | A |
6018313 | Engelmayer et al. | Jan 2000 | A |
6023239 | Kovach | Feb 2000 | A |
6052647 | Parkinson et al. | Apr 2000 | A |
6055477 | McBurney et al. | Apr 2000 | A |
6057800 | Yang et al. | May 2000 | A |
6061390 | Meehan et al. | May 2000 | A |
6061632 | Dreier | May 2000 | A |
6062317 | Gharsalli | May 2000 | A |
6069583 | Silvestrin et al. | May 2000 | A |
6076612 | Carr et al. | Jun 2000 | A |
6081171 | Ella | Jun 2000 | A |
6100842 | Dreier et al. | Aug 2000 | A |
6104978 | Harrison et al. | Aug 2000 | A |
6122595 | Varley et al. | Sep 2000 | A |
6128574 | Diekhans | Oct 2000 | A |
6144335 | Rogers | Nov 2000 | A |
6191730 | Nelson, Jr. | Feb 2001 | B1 |
6191733 | Dizchavez | Feb 2001 | B1 |
6198430 | Hwang et al. | Mar 2001 | B1 |
6198992 | Winslow | Mar 2001 | B1 |
6199000 | Keller et al. | Mar 2001 | B1 |
6205401 | Pickhard et al. | Mar 2001 | B1 |
6215828 | Signell et al. | Apr 2001 | B1 |
6229479 | Kozlov et al. | May 2001 | B1 |
6230097 | Dance et al. | May 2001 | B1 |
6233511 | Berger et al. | May 2001 | B1 |
6236916 | Staub et al. | May 2001 | B1 |
6236924 | Motz et al. | May 2001 | B1 |
6253160 | Hanseder | Jun 2001 | B1 |
6256583 | Sutton | Jul 2001 | B1 |
6259398 | Riley | Jul 2001 | B1 |
6266595 | Greatline et al. | Jul 2001 | B1 |
6285320 | Olster et al. | Sep 2001 | B1 |
6292132 | Wilson | Sep 2001 | B1 |
6307505 | Green | Oct 2001 | B1 |
6313788 | Wilson | Nov 2001 | B1 |
6314348 | Winslow | Nov 2001 | B1 |
6325684 | Knight | Dec 2001 | B1 |
6336066 | Pellenc et al. | Jan 2002 | B1 |
6345231 | Quincke | Feb 2002 | B2 |
6356602 | Rodal et al. | Mar 2002 | B1 |
6377889 | Soest | Apr 2002 | B1 |
6380888 | Kucik | Apr 2002 | B1 |
6389345 | Phelps | May 2002 | B2 |
6392589 | Rogers et al. | May 2002 | B1 |
6397147 | Whitehead | May 2002 | B1 |
6415229 | Diekhans | Jul 2002 | B1 |
6418031 | Archambeault | Jul 2002 | B1 |
6421003 | Riley et al. | Jul 2002 | B1 |
6424915 | Fukuda et al. | Jul 2002 | B1 |
6431576 | Viaud et al. | Aug 2002 | B1 |
6434462 | Bevly et al. | Aug 2002 | B1 |
6445983 | Dickson et al. | Sep 2002 | B1 |
6445990 | Manring | Sep 2002 | B1 |
6449558 | Small | Sep 2002 | B1 |
6463091 | Zhodzicshsky et al. | Oct 2002 | B1 |
6463374 | Keller et al. | Oct 2002 | B1 |
6466871 | Reisman et al. | Oct 2002 | B1 |
6469663 | Whitehead et al. | Oct 2002 | B1 |
6484097 | Fuchs et al. | Nov 2002 | B2 |
6501422 | Nichols | Dec 2002 | B1 |
6515619 | McKay, Jr. | Feb 2003 | B1 |
6516271 | Upadhyaya et al. | Feb 2003 | B2 |
6539303 | McClure et al. | Mar 2003 | B2 |
6542077 | Joao | Apr 2003 | B2 |
6549835 | Deguchi | Apr 2003 | B2 |
6553299 | Keller et al. | Apr 2003 | B1 |
6553300 | Ma et al. | Apr 2003 | B2 |
6553311 | Ahearn et al. | Apr 2003 | B2 |
6570534 | Cohen et al. | May 2003 | B2 |
6577952 | Geier et al. | Jun 2003 | B2 |
6587761 | Kumar | Jul 2003 | B2 |
6606542 | Hauwiller et al. | Aug 2003 | B2 |
6611228 | Toda et al. | Aug 2003 | B2 |
6611754 | Klein | Aug 2003 | B2 |
6611755 | Coffee et al. | Aug 2003 | B1 |
6622091 | Perlmutter et al. | Sep 2003 | B2 |
6631394 | Ronkka et al. | Oct 2003 | B1 |
6631916 | Miller | Oct 2003 | B1 |
6643576 | O'Connor et al. | Nov 2003 | B1 |
6646603 | Dooley et al. | Nov 2003 | B2 |
6657875 | Zeng et al. | Dec 2003 | B1 |
6671587 | Hrovat et al. | Dec 2003 | B2 |
6686878 | Lange | Feb 2004 | B1 |
6688403 | Bernhardt et al. | Feb 2004 | B2 |
6703973 | Nichols | Mar 2004 | B1 |
6711501 | McClure et al. | Mar 2004 | B2 |
6721638 | Zeitler | Apr 2004 | B2 |
6732024 | Rekow et al. | May 2004 | B2 |
6744404 | Whitehead et al. | Jun 2004 | B1 |
6754584 | Pinto et al. | Jun 2004 | B2 |
6774843 | Takahashi | Aug 2004 | B2 |
6792380 | Toda | Sep 2004 | B2 |
6819269 | Flick | Nov 2004 | B2 |
6822314 | Beasom | Nov 2004 | B2 |
6865465 | McClure | Mar 2005 | B2 |
6865484 | Miyasaka et al. | Mar 2005 | B2 |
6879283 | Bird et al. | Apr 2005 | B1 |
6900992 | Kelly et al. | May 2005 | B2 |
6922635 | Rorabaugh | Jul 2005 | B2 |
6931233 | Tso et al. | Aug 2005 | B1 |
6961018 | Heppe et al. | Nov 2005 | B2 |
6967538 | Woo | Nov 2005 | B2 |
6990399 | Hrazdera et al. | Jan 2006 | B2 |
7006032 | King et al. | Feb 2006 | B2 |
7026982 | Toda et al. | Apr 2006 | B2 |
7027918 | Zimmerman et al. | Apr 2006 | B2 |
7031725 | Rorabaugh | Apr 2006 | B2 |
7089099 | Shostak et al. | Aug 2006 | B2 |
7142956 | Heiniger et al. | Nov 2006 | B2 |
7155335 | Rennels | Dec 2006 | B2 |
7162348 | McClure et al. | Jan 2007 | B2 |
7191061 | McKay et al. | Mar 2007 | B2 |
7221314 | Brabec et al. | May 2007 | B2 |
7231290 | Steichen et al. | Jun 2007 | B2 |
7248211 | Hatch et al. | Jul 2007 | B2 |
7271766 | Zimmerman et al. | Sep 2007 | B2 |
7277784 | Weiss | Oct 2007 | B2 |
7292186 | Miller et al. | Nov 2007 | B2 |
7324915 | Altman | Jan 2008 | B2 |
7358896 | Gradincic et al. | Apr 2008 | B2 |
7373231 | McClure et al. | May 2008 | B2 |
7388539 | Whitehead et al. | Jun 2008 | B2 |
7395769 | Jensen | Jul 2008 | B2 |
7428259 | Wang et al. | Sep 2008 | B2 |
7437230 | McClure et al. | Oct 2008 | B2 |
7451030 | Eglington et al. | Nov 2008 | B2 |
7479900 | Horstemeyer | Jan 2009 | B2 |
7505848 | Flann et al. | Mar 2009 | B2 |
7522099 | Zhodzishsky et al. | Apr 2009 | B2 |
7522100 | Yang et al. | Apr 2009 | B2 |
7571029 | Dai et al. | Aug 2009 | B2 |
7689354 | Heiniger et al. | Mar 2010 | B2 |
20030014171 | Ma et al. | Jan 2003 | A1 |
20030093210 | Kondo et al. | May 2003 | A1 |
20030187560 | Keller et al. | Oct 2003 | A1 |
20030195008 | Mohi et al. | Oct 2003 | A1 |
20030208319 | Ell et al. | Nov 2003 | A1 |
20040039514 | Steichen et al. | Feb 2004 | A1 |
20040130485 | Rapoport et al. | Jul 2004 | A1 |
20040212533 | Whitehead et al. | Oct 2004 | A1 |
20050080559 | Ishibashi et al. | Apr 2005 | A1 |
20050225955 | Grebenkemper et al. | Oct 2005 | A1 |
20050265494 | Goodings | Dec 2005 | A1 |
20060031664 | Wilson et al. | Feb 2006 | A1 |
20060167600 | Nelson et al. | Jul 2006 | A1 |
20060206246 | Walker | Sep 2006 | A1 |
20060215739 | Williamson et al. | Sep 2006 | A1 |
20070078570 | Dai et al. | Apr 2007 | A1 |
20070088447 | Stothert et al. | Apr 2007 | A1 |
20070121708 | Simpson | May 2007 | A1 |
20070205940 | Yang et al. | Sep 2007 | A1 |
20070285308 | Bauregger et al. | Dec 2007 | A1 |
20080129586 | Martin | Jun 2008 | A1 |
20080204312 | Euler | Aug 2008 | A1 |
20090171583 | DiEsposti | Jul 2009 | A1 |
20090174597 | DiLellio et al. | Jul 2009 | A1 |
20090174622 | Kanou | Jul 2009 | A1 |
20090177395 | Stelpstra | Jul 2009 | A1 |
20090177399 | Park et al. | Jul 2009 | A1 |
20090259397 | Stanton | Oct 2009 | A1 |
20090259707 | Martin et al. | Oct 2009 | A1 |
20090262014 | Diesposti | Oct 2009 | A1 |
20090262018 | Vasilyev et al. | Oct 2009 | A1 |
20090262974 | Lithopoulos | Oct 2009 | A1 |
20090265054 | Basnayake | Oct 2009 | A1 |
20090265101 | Jow | Oct 2009 | A1 |
20090265104 | Shroff | Oct 2009 | A1 |
20090273372 | Brenner | Nov 2009 | A1 |
20090273513 | Huang | Nov 2009 | A1 |
20090274079 | Bhatia et al. | Nov 2009 | A1 |
20090274113 | Katz | Nov 2009 | A1 |
20090276155 | Jeerage et al. | Nov 2009 | A1 |
20090295633 | Pinto et al. | Dec 2009 | A1 |
20090295634 | Yu et al. | Dec 2009 | A1 |
20090299550 | Baker | Dec 2009 | A1 |
20090322597 | Medina Herrero et al. | Dec 2009 | A1 |
20090322598 | Fly et al. | Dec 2009 | A1 |
20090322600 | Whitehead et al. | Dec 2009 | A1 |
20090322601 | Ladd et al. | Dec 2009 | A1 |
20090322606 | Gronemeyer | Dec 2009 | A1 |
20090326809 | Colley et al. | Dec 2009 | A1 |
20100013703 | Tekawy et al. | Jan 2010 | A1 |
20100026569 | Amidi | Feb 2010 | A1 |
20100030470 | Wang et al. | Feb 2010 | A1 |
20100039316 | Gronemeyer et al. | Feb 2010 | A1 |
20100039318 | Kmiecik | Feb 2010 | A1 |
20100039320 | Boyer et al. | Feb 2010 | A1 |
20100039321 | Abraham | Feb 2010 | A1 |
20100060518 | Bar-Sever et al. | Mar 2010 | A1 |
20100063649 | Wu et al. | Mar 2010 | A1 |
20100084147 | Aral | Apr 2010 | A1 |
20100085249 | Ferguson et al. | Apr 2010 | A1 |
20100085253 | Ferguson et al. | Apr 2010 | A1 |
20100103033 | Roh | Apr 2010 | A1 |
20100103034 | Tobe et al. | Apr 2010 | A1 |
20100103038 | Yeh et al. | Apr 2010 | A1 |
20100103040 | Broadbent | Apr 2010 | A1 |
20100106414 | Whitehead | Apr 2010 | A1 |
20100106445 | Kondoh | Apr 2010 | A1 |
20100109944 | Whitehead et al. | May 2010 | A1 |
20100109945 | Roh | May 2010 | A1 |
20100109947 | Rintanen | May 2010 | A1 |
20100109948 | Razoumov et al. | May 2010 | A1 |
20100109950 | Roh | May 2010 | A1 |
20100111372 | Zheng et al. | May 2010 | A1 |
20100114483 | Heo et al. | May 2010 | A1 |
20100117894 | Velde et al. | May 2010 | A1 |
20100117899 | Papadimitratos et al. | May 2010 | A1 |
20100117900 | van Diggelen et al. | May 2010 | A1 |
20100121577 | Zhang et al. | May 2010 | A1 |
20100124210 | Lo | May 2010 | A1 |
20100124212 | Lo | May 2010 | A1 |
20100134354 | Lennen | Jun 2010 | A1 |
20100149025 | Meyers et al. | Jun 2010 | A1 |
20100149030 | Verma et al. | Jun 2010 | A1 |
20100149033 | Abraham | Jun 2010 | A1 |
20100149034 | Chen | Jun 2010 | A1 |
20100149037 | Cho | Jun 2010 | A1 |
20100150284 | Fielder et al. | Jun 2010 | A1 |
20100152949 | Nunan et al. | Jun 2010 | A1 |
20100156709 | Zhang et al. | Jun 2010 | A1 |
20100156712 | Pisz et al. | Jun 2010 | A1 |
20100156718 | Chen | Jun 2010 | A1 |
20100159943 | Salmon | Jun 2010 | A1 |
20100161179 | McClure et al. | Jun 2010 | A1 |
20100161211 | Chang | Jun 2010 | A1 |
20100161568 | Xiao | Jun 2010 | A1 |
20100171660 | Shyr et al. | Jul 2010 | A1 |
20100171757 | Melamed | Jul 2010 | A1 |
20100185364 | McClure | Jul 2010 | A1 |
20100185366 | Heiniger et al. | Jul 2010 | A1 |
20100185389 | Woodard | Jul 2010 | A1 |
20100188285 | Collins | Jul 2010 | A1 |
20100188286 | Bickerstaff et al. | Jul 2010 | A1 |
20100189163 | Burgi et al. | Jul 2010 | A1 |
20100207811 | Lackey | Aug 2010 | A1 |
20100210206 | Young | Aug 2010 | A1 |
20100211248 | Craig et al. | Aug 2010 | A1 |
20100211315 | Toda | Aug 2010 | A1 |
20100211316 | DaSilva et al. | Aug 2010 | A1 |
20100220004 | Malkos et al. | Sep 2010 | A1 |
20100220008 | Conover et al. | Sep 2010 | A1 |
20100222076 | Poon et al. | Sep 2010 | A1 |
20100225537 | Abraham | Sep 2010 | A1 |
20100228408 | Ford | Sep 2010 | A1 |
20100228480 | Lithgow et al. | Sep 2010 | A1 |
20100231443 | Whitehead | Sep 2010 | A1 |
20100231446 | Marshall et al. | Sep 2010 | A1 |
20100232351 | Chansarkar et al. | Sep 2010 | A1 |
20100235093 | Chang | Sep 2010 | A1 |
20100238976 | Young | Sep 2010 | A1 |
20100241347 | King et al. | Sep 2010 | A1 |
20100241353 | Park | Sep 2010 | A1 |
20100241441 | Page et al. | Sep 2010 | A1 |
20100241864 | Kelley et al. | Sep 2010 | A1 |
Number | Date | Country |
---|---|---|
07244150 | Sep 1995 | JP |
WO9836288 | Aug 1998 | WO |
WO0024239 | May 2000 | WO |
WO03019430 | Mar 2003 | WO |
WO2005119386 | Dec 2005 | WO |
WO2009066183 | May 2009 | WO |
WO-2009082745 | Jul 2009 | WO |
WO-2010005945 | Jul 2009 | WO |
WO2009126587 | Oct 2009 | WO |
WO2009148638 | Dec 2009 | WO |
WO-2010104782 | Sep 2010 | WO |
WO-2011014431 | Feb 2011 | WO |
Number | Date | Country | |
---|---|---|---|
20090322600 A1 | Dec 2009 | US |
Number | Date | Country | |
---|---|---|---|
Parent | 12355776 | Jan 2009 | US |
Child | 12554741 | US | |
Parent | 12171399 | Jul 2008 | US |
Child | 12355776 | US | |
Parent | 10804758 | Mar 2004 | US |
Child | 12171399 | US | |
Parent | 10828745 | Apr 2004 | US |
Child | 10804758 | US |