Programmable code generation for radar sensing systems

Information

  • Patent Grant
  • 10670695
  • Patent Number
    10,670,695
  • Date Filed
    Friday, February 9, 2018
    6 years ago
  • Date Issued
    Tuesday, June 2, 2020
    4 years ago
Abstract
A radar sensing system for a vehicle has multiple transmitters and receivers on a vehicle. The transmitters are configured to transmit radio signals which are reflected off of objects in the environment. There are one or more receivers that receive the reflected radio signals. Each receiver has an antenna, a radio frequency front end, an analog-to-digital converter (ADC), and a digital signal processor. The transmitted signals are based on spreading codes generated by a programmable code generation unit. The receiver also makes use of the spreading codes generated by the programmable code generation unit. The programmable code generation unit is configured to selectively generate particular spreading codes that have desired properties.
Description
FIELD OF THE INVENTION

The present invention is directed to radar systems, and in particular to radar systems for vehicles.


BACKGROUND OF THE INVENTION

The use of radar to determine range, velocity, and angle (elevation or azimuth) of objects in an environment is important in a number of applications including automotive radar and gesture detection. Radar systems typically transmit a radio frequency (RF) signal and listen for the reflection of the radio signal from objects in the environment. A radar system estimates the location of objects, also called targets, in the environment by correlating delayed versions of the received radio signal with the transmitted radio signal. A radar system can also estimate the velocity of the target by Doppler processing. A radar system with multiple transmitters and multiple receivers can also determine the angular position of a target.


A radar system consists of transmitters and receivers. The transmitters generate a baseband signal which is up converted to a radio frequency (RF) signal that propagates according to an antenna pattern. The transmitted signal is reflected off of object or targets in the environment. The received signal at each receiver is the totality of the reflected signal from all targets in the environment. The receiver down converts the received signal to baseband and compares the baseband received signal to the baseband signal at one or more transmitters. This is used to determine the range, velocity and angle of targets in the environment.


SUMMARY OF THE INVENTION

Embodiments of the present invention provide methods and an apparatus to improve the performance of a radar system. An exemplary radar system is configured to provide sequences of spreading code chips to digital signal generators of each transmitter and to digital baseband processing sections of each receiver. A programmable code generator unit is communicatively coupled to each of the transmitters and receivers and is configured to provide the sequences of spreading code chips. The programmable code generator provides one spreading sequence consisting of spreading code chips to each transmitter while multiple spreading codes are supplied to each receiver, such that a digital signal generator and a corresponding digital baseband processing section of a first transmitter and each receiver will each be supplied the same spreading code used by the transmitter and each receiver to generate transmitted radio signals and to process received radio signals, respectively.


A radar sensing system for a vehicle in accordance with an embodiment of the present invention includes a plurality of transmitters, a plurality of receivers, and a programmable code generation unit. The plurality of transmitters is configured for installation and use on a vehicle and is configured to transmit radio signals. The plurality of receivers is configured for installation and use on the vehicle, and is configured to receive radio signals that include the transmitted radio signals transmitted by the transmitters and reflected from objects in an environment. The programmable code generation unit is configured to provide sequences of spreading code chips to digital signal generators of the transmitters and to digital baseband processing sections of the receivers. Particular sequences of spreading code chips are provided to individual transmitters. A particular sequence of spreading code chips is used by a digital signal generator as part of the process to generate transmitted radio signals. Multiple sequences of spreading code chips are used by a digital baseband processing section of a receiver to process received radio signals.


A method for controlling a radar sensing system comprising a plurality of transmitters configured for installation and use on a vehicle, a plurality of receivers configured for installation and use on the vehicle, and a programmable code generation unit configured for installation and use on the vehicle. The method includes transmitting, with the transmitters, radio signals and receiving, with the receivers, radio signals that include the transmitted radio signals transmitted by the transmitters and reflected from objects in an environment. A radio frequency (RF) front end of a first receiver is used to process the received radio signals and output processed radio signals. An analog-to-digital converter (ADC) of the first receiver is used to sample the processed radio signals and output data samples. The method further includes generating, with the programmable code generation unit, spreading sequences used by digital signal generators of the transmitters to generate transmitted radio signals and used by digital baseband processing sections of the receivers to process received radio signals.


In an aspect of the present invention, the programmable code generation unit may be configured to generate a plurality of different spreading codes and/or a plurality of maximum length sequences.


In another aspect of the present invention, the programmable code generation unit may be configured to generate a plurality of codes from one of a Hadamard code, a Golay code, a Frank-Zadoff-Chu code, and an APAS code.


In yet a further aspect of the present invention, the programmable code generation unit may include a control processor and a plurality of feedback shift registers. The shift register feedback connections and shift register contents of the feedback shift registers are defined by the control processor. The programmable code generation unit also includes logic that alters the output of the feedback shift registers in order to alter properties of the sequences produced by the feedback shift registers. The plurality of feedback shift registers may be loaded with any seed contents, as defined by the control processor. The plurality of feedback shift registers may also be further configured with any set of feedback connections, as defined by the control processor. The shift register sequences may be altered to provide DC balance within a sequence of a transmitter and/or across the sequences for different transmitters.


These and other objects, advantages, purposes and features of the present invention will become apparent upon review of the following specification in conjunction with the drawings.





BRIEF DESCRIPTION OF THE DRAWINGS


FIG. 1 is a plan view of an automobile equipped with a radar system in accordance with the present invention;



FIG. 2A and FIG. 2B are block diagrams of radar systems in accordance with the present invention;



FIG. 3 is a block diagram illustrating a radar system with a plurality of receivers and a plurality of transmitters in accordance with the present invention;



FIG. 4 is a block diagram of an exemplary receive pipeline and transmit pipeline for a radar system in accordance with the present invention;



FIG. 5 is a block diagram of an exemplary digital processing section of the transmitters and receivers with a common programmable code generator unit in accordance with the present invention;



FIG. 6 is a diagram showing a Fibonacci implementation of an m-sequence generator in accordance with the present invention;



FIG. 7 is a diagram showing a Galois implementation of an m-sequence generator in accordance with the present invention;



FIG. 8 is a plot of a periodic autocorrelation function of an m-sequence of length 127 in accordance with the present invention;



FIG. 9 is a plot of an aperiodic autocorrelation function of a Barker code of length 11 in accordance with the present invention;



FIG. 10 is a plot of a periodic autocorrelation function of a Frank-Zadoff-Chu sequence of length 32 in accordance with the present invention;



FIG. 11 is a block diagram of a Gold code generator in accordance with the present invention;



FIG. 12 is a block diagram of a spreading code that is generated from several constituent codes in accordance with the present invention; and



FIG. 13 is a block diagram illustrating an exemplary structure of a programmable code generator in accordance with the present invention.





DESCRIPTION OF THE PREFERRED EMBODIMENTS

The present invention will now be described with reference to the accompanying figures, wherein numbered elements in the following written description correspond to like-numbered elements in the figures. Methods and systems of the present invention provide for a programmable code generation unit configured to generate sequences to be received by both transmitters and receivers of a radar system and used to generate transmitted signals as well as used to process received signals. An exemplary programmable code generation unit comprises a control processor and a plurality of feedback shift registers. The control processor configures shift register feedback connections and selects contents (seeds) of the feedback shift registers in order to alter properties of the sequences that are generated by the feedback shift registers.



FIG. 1. Illustrates an exemplary radar system 100 configured for use in a vehicle 150. In an aspect of the present invention, a vehicle 150 may be an automobile, truck, or bus, etc. The radar system 100 may utilize multiple radar systems (e.g., 104a-104d) embedded in the vehicle 150 (see FIG. 1). Each of these radar systems may employ multiple transmitters, receivers, and antennas (see FIG. 3). These signals are reflected from objects (also known as targets) in the environment and received by one or more receivers of the radar system. A transmitter-receiver pair is called a virtual radar (or sometimes a virtual receiver). As illustrated in FIG. 1, the radar system 100 may comprise one or more transmitters and one or more receivers (104a-104d) for a plurality of virtual radars. Other configurations are also possible. FIG. 1 illustrates the receivers/transmitters 104a-104d placed to acquire and provide data for object detection and adaptive cruise control. As illustrated in FIG. 1, a controller 102 receives and the analyzes position information received from the receivers 104a-104d and forwards processed information (e.g., position information) to, for example, an indicator 106 or other similar devices, as well as to other automotive systems. The radar system 100 (providing such object detection and adaptive cruise control or the like) may be part of an Advanced Driver Assistance System (ADAS) for the automobile 150.


An exemplary radar system operates by transmitting one or more signals from one or more transmitters and then listening for reflections of those signals from objects in the environment by one or more receivers. By comparing the transmitted signals and the received signals, estimates of the range, velocity, and angle (azimuth and/or elevation) of the objects can be estimated.


There are several ways to implement a radar system. One way, illustrated in FIG. 2A, uses a single antenna 202 for transmitting and receiving. The antenna 202 is connected to a duplexer 204 that routes the appropriate signal from the antenna 202 to a receiver 208 or routes the signal from a transmitter 206 to the antenna 202. A control processor 210 controls the operation of the transmitter 206 and the receiver 208 and estimates the range and velocity of objects in the environment. A second way to implement a radar system is shown in FIG. 2B. In this system, there are separate antennas for transmitting (202A) and receiving (202B). A control processor 210 performs the same basic functions as in FIG. 2A. In each case, there may be a display 212 to visualize the location of objects in the environment.


A radar system with multiple antennas, transmitters and receivers is shown in FIG. 3. Using multiple antennas 302, 304 allows an exemplary radar system 300 to determine the angle (azimuth or elevation or both) of targets in the environment. Depending on the geometry of the antenna system different angles (e.g., azimuth or elevation) can be determined.


The radar system 300 may be connected to a network via an Ethernet connection or other types of network connections 314, such as, for example, CAN-FD and FlexRay. The radar system 300 may also have memory (310, 312) to store software used for processing the signals in order to determine range, velocity and location of objects. Memory 310, 312 may also be used to store information about targets in the environment. There may also be processing capability contained in the ASIC 208 apart from the transmitters 203 and receivers 204.


The description herein includes an exemplary radar system in which there are NT transmitters and NR receivers for NT×NR virtual radars, one for each transmitter-receiver pair. For example, a radar system with eight transmitters and eight receivers will have 64 pairs or 64 virtual radars (with 64 virtual receivers). When three transmitters (Tx1, Tx2, Tx3) generate signals that are being received by three receivers (Rx1, Rx2, Rx3), each of the receivers is receiving the transmission from each of the transmitters reflected by objects in the environment. Each receiver can attempt to determine the range and Doppler of objects by correlating with delayed replicas of the signal from each of the transmitters. The physical receivers may then be “divided” into three separate virtual receivers, each virtual receiver correlating with delay replicas of one of the transmitted signals.


There are several different types of signals that transmitters in radar systems employ. A radar system may transmit a pulsed signal or a continuous signal. In a pulsed radar system, the signal is transmitted for a short time and then no signal is transmitted. This is repeated over and over. When the signal is not being transmitted, the receiver listens for echoes or reflections from objects in the environment. Often a single antenna is used for both the transmitter and receiver and the radar transmits on the antenna and then listens to the received signal on the same antenna. This process is then repeated. In a continuous wave radar system, the signal is continuously transmitted. There may be an antenna for transmitting and a separate antenna for receiving.


Another classification of radar systems is the modulation of signal being transmitted. A first type of continuous wave radar signal is known as a frequency modulated continuous wave (FMCW) radar signal. In an FMCW radar system, the transmitted signal is a sinusoidal signal with a varying frequency. By measuring a time difference between when a certain frequency was transmitted and when the received signal contained that frequency, the range to an object can be determined. By measuring several different time differences between a transmitted signal and a received signal, velocity information can be obtained.


A second type of continuous wave signal used in radar systems is known as a phase modulated continuous wave (PMCW) radar signal. In a PMCW radar system, the transmitted signal from a single transmitter is a sinusoidal signal in which the phase of the sinusoidal signal varies. Typically, the phase during a given time period (called a chip period or chip duration) is one of a finite number of possible phases. A spreading code consisting of a sequence of chips, (e.g., +1, +1, −1, +1, −1 . . . ) is mapped (e.g., +1→0, −1→π) into a sequence of phases (e.g., 0, 0, π, 0, π . . . ) that is used to modulate a carrier to generate the radio frequency (RF) signal. The spreading code could be a periodic sequence or could be a pseudo-random sequence with a very large period so it appears to be a nearly random sequence. The spreading code could be a binary code (e.g., +1 or −1). The resulting signal has a bandwidth that is proportional to the rate at which the phases change, called the chip rate Rc, which is the inverse of the chip duration Tc=1/Rc. By comparing the return signal to the transmitted signal, the receiver can determine the range and the velocity of reflected objects.


In some radar systems, the signal (e.g. a PMCW signal) is transmitted over a short time period (e.g. 1 microsecond) and then turned off for a similar time period. The receiver is only turned on during the time period where the transmitter is turned off. In this approach, reflections of the transmitted signal from very close targets will not be completely available because the receiver is not active during a large fraction of the time when the reflected signals are being received. This is called pulse mode.


The radar sensing system of the present invention may utilize aspects of the radar systems described in U.S. Pat. Nos. 9,846,228; 9,806,914; 9,791,564; 9,791,551; 9,772,397; 9,753,121; 9,599,702; 9,575,160 and/or 9,689,967, and/or U.S. Publication Nos. US-2017-0309997; US-2017-0307728 and/or US-2017-0310758, and/or U.S. patent application Ser. No. 15/496,038, filed Apr. 25, 2017, Ser. No. 15/689,273, filed Aug. 29, 2017, and/or Ser. No. 15/705,627, filed Sep. 15, 2017, and/or U.S. provisional applications, Ser. No. 62/486,732, filed Apr. 18, 2017, Ser. No. 62/528,789, filed Jul. 5, 2017, Ser. No. 62/573,880, filed Oct. 18, 2017, Ser. No. 62/598,563, filed Dec. 14, 2017, and/or Ser. No. 62/623,092, filed Jan. 29, 2018, which are all hereby incorporated by reference herein in their entireties.



FIG. 4 illustrates an exemplary transmitter 400 and receiver 450 of a radar system. The transmitter 400 includes a digital processor 410 that generates a baseband transmitted signal. The baseband signal is converted to an analog signal by a digital-to-analog converter (DAC) 420 and then mixed up to a carrier frequency and amplified by a radio frequency (RF) front end 430 before being radiated by an antenna 440. Each receiver 450 of the radar system generally will have a receive antenna 460, an analog RF front end 470 followed by an analog-to-digital converter (ADC) 480 that outputs complex valued digitized samples (i.e., values comprising a mathematical real component and a mathematical imaginary component) and a digital baseband processing section 490. The digital signal generator 410 (of the transmitter 400) and the digital baseband processing section 490 (of the receiver 450) need to know the sequence of spreading code chips used in generating the spreading code (e.g., for successful correlation of the received radio signals). This shared knowledge of the sequence of spreading code chips is illustrated with the dashed line connecting (410) and (490).



FIG. 5 illustrates a block diagram of the digital processing sections of the transmitter (410) and receiver (490) that includes an exemplary programmable code generation unit 510 that is communicatively coupled to each. Note that while FIG. 5 illustrates a single digital processing section 410 for the transmitter 400, there may be a plurality of digital processing sections 410 from a plurality of transmitters 400. Similarly, there can be a plurality of digital baseband processing sections 490 from a plurality of receivers 450. However, there is only one programmable code generation unit 510 used to generate all the spreading codes for the different transmitters 400 and used by the different receivers 450.


The digital baseband processing section 490 of a receiver 450 in a radar system will processes samples from the ADC 480. This processing involves calculating correlations with different delays of the baseband signal for each of the possible transmitted baseband signals. There are a variety of ways that the correlation process can be accomplished, including the use of a matched filter and Fourier transform processing. The processing for calculating correlations can be done for a set of distances. Each delay of the baseband signal corresponds to a range for a target. A range bin is the range corresponding to a certain delay of the baseband signal used in a correlation. The correlation with a particular delay is an indication of whether or not a target is present at the particular range. For example, a spreading code might have a chip rate of Rc=500 Mchips/second which would correspond to a chip duration of Tc=2 nanoseconds (ns). The receiver 450 might perform correlation delays at intervals of 2 ns, starting at a delay of 2 ns up to a maximum delay of 256 ns. That is, 128 different correlations would be performed. A target at a distance of 30 meters would produce a delay of 200 ns. A correlation with a baseband spreading code at a delay of 100 chips (200 ns) would produce a large magnitude output because the reflected signal off the target at 30 meters would produce a large correlation with the baseband spreading signal also delayed by 200 ns. While a target at a distance of 30.3 meters would produce a large correlation with a baseband signal delayed by 101 chips (202 ns). Therefore, targets at a distance between close to 30 meters (e.g. within ±0.15 meters would produce larger outputs when correlated with a baseband signal delay by 100 chips than a baseband signal delayed by either 99 chips or 101 chips. The range bin then corresponding to 30 meters would be of a width of 0.3 meters. A correlation unit might be set up to produce a certain set of correlations (e.g. 128 correlations for range bins starting at 0.3 meters to a distance of 38.4 meters). In other words, a correlation unit might be capable of producing a certain number of correlations or determine the presence of targets in a certain set of range bins. A correlation unit could be set up to consider different sets of range bins with which to perform correlations over.


Spreading codes with good autocorrelation functions are important so that the receiver can distinguish targets from different locations. Sometimes the spreading codes are called sequences and sometimes they are called codes. One type of spreading code is known as a maximal-length sequence or an m-sequence for short. This is also called a linear feedback shift register (LFSR) sequence. This might also be known as a pseudo-noise (PN) sequence. Therefore, such a generator may be known as a pseudo-random sequence generator (PRBS). FIG. 6 illustrates an exemplary shift register 600 used to generate an m-sequence. FIG. 6 illustrates that there are a number of memory elements 601-605 that form the shift register 600. The exemplary shift register 600 may have any number of elements and adders and is not limited to the number of elements and adders, or their arrangement, illustrated in FIG. 6. Each memory element 601-605 stores a binary value 0 or 1. The shift register has a clock signal (not shown) in which at every clock cycle the contents of the memory elements 601-605 are shifted to the right and a linear combination (606-608) of the elements are used to generate a bit stored in the left most element (601). The adders (606-608) are binary modulo two adders. That is, 0+0=0, 0+1=1, and 1+1=0.


The sequence of output of the far-right element (605) is the m-sequence. This sequence has a number of properties. The generated sequence, xn, is a periodic sequence. This is because there are a finite number of possible contents (states) of the shift register 600. Every time the shift register 600 is in a certain state, the sequence of states subsequently is identical. If the shift register 600 is ever in an all-zero state (where every element contains the binary value 0) then the shift register 600 will remain in the all zero state and the output will be a binary value 0 always. If there are m elements in the shift register 600, then it is possible for the state to be one of 2mpossible values. However, as indicated above, the all zero state produces a trivial sequence of all zeros. There are 2m−1 possible nonzero states. If the shift register 600 goes through all these states before repeating, then the sequence will repeat with period Lc=2m−1. This sequence is known as a maximal length sequence because it is the maximum length sequence that can be produced by a shift register 600 of length m. The method to generate the sequence, illustrated in FIG. 6, is known as the Fibonacci implementation. Another implementation of the same spreading code is illustrated in FIG. 7, and is known as the Galois implementation.


In FIG. 7, modulo two adders (706-708) are positioned between certain memory elements (701-705). The sequences generated by the two implementations are the same, provided that the connections for the Galois implementation are the reverse of the connections shown for the Fibonacci implementation. Only certain feedback connections used in the shift register will generate maximal length sequences. Other feedback connections will generate sequences of length that are smaller than the maximum length that is generated by an m-sequence generator. The appropriate feedback connections are widely tabulated for shift registers of moderate size (e.g. m<30).


Often, the sequence of 1s and 0s is converted to a binary sequence of +1's and −1 s. There are two possible mappings, either 0→+1, 1→−1 or 0→−1, 1→+1. If the former is used, then adding modulo 2 in the 0, 1 domain is the same as multiplication in the +1, −1 domain. If the sequence generated consisting of 1s and 0s is converted to +1 s and −1 s and called un, n=0, 1, 2, . . . , then the periodic autocorrelation of the sequence un has a two-level property. The periodic autocorrelation of the sequence un is:








θ
u



(
l
)


=




n
=
0


L
c









u
n



u

n
+
l

*








where either the sequence is an infinite length periodic sequence with period Lc or the index on un+l is determined modulo Lc. The autocorrelation function is the correlation between the sequence un and the same sequence with offset l, namely un+l. Note that in the case where the sequence contains complex numbers, un* is the complex conjugate of un. The periodic autocorrelation θu(l) of an m-sequence (converted to a +1, −1 sequence) is Lc (mod Lc), if 1=0 and θu(l)=−1, if 1 (mod Lc)=1, 2, . . . , N−1. This is illustrated in FIG. 8 for an m-sequence of length/period Lc=127, including a zoomed-in portion which shows that when l≠0 mod (Lc), the autocorrelation is −1.


Another autocorrelation function is the aperiodic autocorrelation function. This is defined as









C
x



(
l
)


=




n
=
0



L
c

-
1
-
l









u
n



u

n
+
l

*




,


for





0


l



L
c

-
1







and








C
x



(
l
)


=




n
=
0



L
c

-
1
+
l









u

n
-
l




u
n
*




,



for





1

-

L
c



l


-
1.






This autocorrelation is important when the signal transmitted consists of a single period of a spreading code, as opposed to multiple periods of a spreading code. One important spreading code with good aperiodic autocorrelation is the Barker code. There are a limited number of possible Barker codes of lengths up to Lc=13. These are shown in the Table below. The aperiodic autocorrelation of Barker codes is no larger in absolute value than 1. The aperiodic autocorrelation is illustrated in FIG. 9 for the Barker code of length 11.













Lc
Code
















2
+1, −1


3
+1, +1, −1


4
+1, +1, −1, +1


5
+1 +1 +1 −1 +1


7
+1 +1 +1 −1 −1 +1 −1


11
+1 +1 +1 −1 −1 −1 +1 −1 −1 +1 −1


13
+1 +1 +1 +1 +1 −1 −1 +1 +1 −1 +1 −1 +1









Another class of codes is the Frank-Zadoff-Chu codes. Unlike Barker codes or m-sequences, which are binary codes, the Frank-Zadoff-Chu codes are sequences of complex numbers, where each complex number is on the unit circle. That is, a plot of each sequence element on the complex plane (real part is the horizontal axis, imaginary part is the vertical axis) lies on the unit circle. The codes can be defined when Lc is even, as








u
n

=

e


-
j




π






n
2



L
c





,

n
=
0

,
1
,
2
,









L
c


-
1






and







u
n

=

e


-
j




π






n


(

n
+
1

)




L
c





,

n
=
0

,
1
,
2
,









L
c


-
1






for when Lc is odd. The value of the periodic autocorrelation function θu(l) is Lc for l mod (Lc)=0, and is 0 for l mod (Lc)≠0. This is the ideal autocorrelation. Note that, in general for complex sequences, the autocorrelation function is a complex number which contains a real part and an imaginary part. Two real correlations are needed to compute the real part of the autocorrelation and two real correlations are needed to compute the imaginary part of the correlation. Generally, the received signal after down-conversion and sampling is a complex number. For real transmitted sequences, two correlations are needed: a correlation of the real transmitted sequence with the real part of the received sequence and a correlation of the real transmitted sequence with the imaginary part of the received sequence. For FZC sequences, the periodic autocorrelation function is (ideally) purely real. That is, the imaginary part is zero. The real part of the periodic autocorrelation is illustrated in FIG. 10 for the case of Lc=32. For Lc=6, the FZC sequence corresponds to points on the unit circle with angles with respect to the positive horizontal axis of [0, −30, −120, 90, −120, −30]. While these codes have the ideal autocorrelation function, they also generate complex (as opposed to purely real) spreading codes. Furthermore, the real and imaginary parts of the code are not just binary (e.g. +1, −1) values, but can also be arbitrary numbers. For example, the second component of the above sequence is the complex number









3

2

-

j
2


,





where j=√{square root over ((−1))}.


There are various other codes, including Golay codes, almost perfect autocorrelation sequences (APAS), and Hadamard codes. Codes with good autocorrelation functions are desired in a radar system. Complex codes require more storage than binary codes. Long codes are generally desirable because the autocorrelation function is generally better, the longer the code. Generating codes at a high chip rate is also desirable. Furthermore, codes that are unpredictable are also desirable.


Codes used for different transmitters that have low cross-correlation are desirable. The periodic cross-correlation function between a code sequence ul, l=0, 1, . . . , Lc−1 and a code sequence vl, l=0, 1, . . . , Lc−1 is defined as:









θ

u
,
v




(
l
)


=




n
=
0


L
c









u
n



v

n
+
l

*




,

l
=
0

,
1
,
2
,






where again either the code sequence repeats or the index for the sequences are determined modulo Lc. One class of codes with interesting cross-correlation properties is known as Gold codes. The Gold codes can be formed from two m-sequences of the same length. FIG. 11 illustrates an exemplary way to generate a Gold code. The method illustrated in FIG. 11 involves modulo 2 adding (1130) the output of two m-sequence generators (1110) and (1120). Depending on the seed values, different Gold codes are generated. If either of the two (but not both) of the generators (1110, 1120) is started with all zeros in the shift register, then the output is just the m-sequence of the other shift register and this is considered one of the Gold codes. By changing the nonzero seed of one m-sequence generator with respect to the seed of the other m-sequence generator, different codes are generated. For the example illustrated in FIG. 11, where the shift register has 5 memory elements and the m-sequences generated are of length 31, there are 33 possible Gold codes. The autocorrelation properties of Gold codes are not as good as m-sequences, but there are more such sequences. For example, there are only 3 m-sequences of length 31 (not counting reverses of an m-sequence), but there are 33 possible Gold codes. There are alternative ways of implementing Gold code generators, known in the art, including using a single shift register of a length that is twice the length of the individual shift registers illustrated in FIG. 11. That is, a single shift register of length 10, with appropriate feedback connections, can generate different Gold codes depending on the initial contents.


Another set of codes are the Hadamard codes, which can be defined recursively when the length is a power of 2. Namely







H
2

=

[




+
1




+
1






-
1




+
1




]








H
4

=

[




H
2




H
2






-

H
2





H
2




]








H
n

=

[




H

n


/


2





H

n


/


2







-

H

n


/


2






H

n


/


2





]





The rows in a Hadamard matrix are orthogonal. That is, the periodic cross correlation between two sequences u and v is 0, at offset 0; θu,v(0)=0. This is useful when different rows of a Hadamard matrix are used as the spreading codes. However, the autocorrelation of the codes is not good. A combination of codes is possible that have good autocorrelation function properties, and are orthogonal as well, when the sequences are synchronized at different transmitters.


In one embodiment, an exemplary spreading code is generated from several constituent codes. This is illustrated in FIG. 12. A first constituent code is a spreading code of length Lc chips (1240). This could be an m-sequence (PRBS) generated by a shift register. This code can be repeated M times (1230), where M≥1, and then the code is combined with a Hadamard code of size K (1220) across different transmitters. This combination is then varied for NFFT times (1210). The total length of the spreading code is then LcM K NFFT. In this case, the Hadamard code is combined with, for example, an m-sequence generated in a feedback shift register repeated M times. There is additional possible variation on the spreading code, in the case when a Golay code is used. Because the Golay code requires two constituent codes, for which the sum of the autocorrelation functions has desirable properties, there is an additional requirement of transmitting two codes of length Lc, so that the overall spreading code length is now 2 Lc M K NFFT.


One way to combine different sequences is via a Kronecker product operation. The Kronecker product of a sequence x1, x2, x3 that is of length 3, with a sequence y1, y2, that is of length 2, is the sequence x1y1, x2y1, x3y1, x1y2, x2y2, x3y2, that is of length 6.


While it is possible to use a conventional general-purpose processor to generate any possible code, the processor would need to operate with a clock cycle several times as fast as the chip rate. A chip rate of 1 Gchips/second would require a processor that is difficult or costly to implement. In one embodiment illustrated in FIG. 13, an exemplary programmable code generation unit 1300 includes a control processor 1301, a memory 1302, programmable shift registers 1303, a combinatorial logic 1304, a DC balancing subsystem 1305, and a Hadamard processing subsystem 1306. The structure of the programmable code generator 1300 contains a processor 1301 that can access the memory 1302, control the shift registers 1303, the combinatorial logic 1304, the DC balancing subsystem 1305, and the Hadamard processing subsystem 1306.


The programmable code generator 1300 contains preferably 48 shift registers of 31 memory elements each, that can be programmed to generate any desired feedback connection, as well as loaded with any seed sequence. The shift registers 1303 can be programmed to generate an m-sequence of length 231−1. The feedback shift registers 1303 can also be shortened in length via feeding back from any set of desired elements in the register which might not include the last element. In this implementation, the last element and potentially other elements, become pure delay elements. The feedback shift register generators can be loaded with any contents (sometimes called the seed) and generators can be configured via software to have any set of feedback connections desired. The structure of the programmable code generator 1300 also has memory 1302 that can store chips used in an arbitrary sequence up to the size of the memory 1302. For example, the memory 1302 could store Hadamard sequences that are read by the processor 1301 and then combined with shift register sequences in the Hadamard processing block 1306. The memory 1302 can store actual chip sequences for different transmitters. One mode of operation, known as range domain MIMO, uses the full memory to provide a first chip sequence for one transmitter. The sequences for the other transmitters are then delayed versions of the first chip sequence. In one embodiment, the memory 1302 has the storage capacity to allow for 12 sequences of length 192K chips.


The memory 1302 can store the seeds and taps to control the feedback shift registers 1303. The processor 1301 can pick a random seed for the shift registers 1303 to choose different sequences instead of deterministically traversing the memory 1302 in a fixed sequence.


The combinatorial logic 1304 can be used for a variety of purposes. In one embodiment, the combinatorial logic 1304 performs exclusive OR (XOR) operations on different streams and can also be used to define which shift register stream goes to which transmitter. Alternatively, one code may be forwarded to all transmitters.


In one embodiment, the DC balancer 1305 first tracks the DC balance. The DC balance is the sum of the quantity of chips that take a value=1 in the past I chips, minus the sum of the quantity of chips that take a value=0 over the same interval. The DC balancer 1305 can be configured to control a maximum absolute value of the DC balance a chip stream may have, called the DC threshold. The DC threshold is configurable but preferably 20. Once the DC balance reaches the threshold the DC balancer will flip the next chip if that chip would cause the DC balance to exceed the DC threshold. Otherwise the DC balancer need not flip the next bit and the DC balance will improve. If the chip sequence is a finite length sequence then the DC balancer can force the DC balance to zero at the end of the sequence by forcing the appropriate last number of bits (e.g. 20) so that the DC balance at the end is zero. Alternatively, the DC balancer can slowly decrease the maximum DC balance threshold when the number of chips left in the finite sequence is smaller than some value. For example, for a sequence of length 512 with a maximum DC balance of 20 when there are 60 chips left in the sequence the DC balancer can reduce the maximum DC balance by 1 every three chips. So that by the time there are only 3 chips left the DC balance is at most 1. At that point, it can reduce the DC balance to zero by forcing the last chip to a value that causes the DC balance to 0 over the whole sequence.


The DC balancer 1305 may also flip an entire sequence of bits, or may take the previous sequence of bits over a range of bits, flip all the bits in the sequence and then used the flipped bits as the spreading code. The DC balancer can also take the flipped bits and do a permutation of the sequence of flipped bits and transmit that sequence. The DC balancer may insert either zeros or ones (0s, 1s) into any of the chip sequences as well.


The DC balancer 1305 may also balance the code across different transmitters over a configured interval. The DC balancer with multiple transmitters checks the DC balance across the different transmitters. If the absolute DC balance across transmitters exceeds a threshold then the DC balancer can change a chip in one of the transmitters. For example, if the DC balance across all transmitters for an individual chip in each of the transmitters exceeds the maximum value then the individual sequence with the worst DC balance in that individual sequence for which changing that chip can improve the DC balance across transmitters and improve the DC balance for the individual transmitter will have that chip flipped in sign. For example, suppose that there are eight transmitters and the individual DC balance for these transmitters is 2, −6, 8, −18, 12, −2, 3, 1 and for a particular chip the DC balance across transmitters is above a threshold, such as the eight chips are 0, 0, 1, 0, 0, 1, 0, 1. Then the DC balancer would need to change one of these chips from a 0 to a 1 in order to have a better balance. One of the transmitters that has a chip of 0 would need to change to 1 in order to improve the DC balance across chips. Transmitters 1, 3, 5, 7, and 8 have more ones than zeros while transmitters 2, 4, and 6 have more zeros than ones. The transmitter that would be changed would flip the bit would be transmitter 5 which would change the balance across transmitters to 2, −6, 8, −18, 10, −2, 3, 1 because what was a one before is removed and an addition zero is added to the balance for transmitter 5. While this will work to keep the DC balance across transmitters when the threshold for balancing an individual transmitter is reduced near the end of a sequence, the balance across transmitters can be eliminated because simultaneous balancing might require look ahead for the chip sequence.

Claims
  • 1. A radar sensing system for a vehicle, the radar sensing system comprising: a plurality of transmitters configured for installation and use on a vehicle, and configured to transmit radio signals;a plurality of receivers configured for installation and use on the vehicle, and configured to receive radio signals that include the transmitted radio signals transmitted by the transmitters and reflected from objects in an environment; anda programmable code generation unit configured to provide sequences of spreading code chips to digital signal generators of the transmitters and to digital baseband processing sections of the receivers;wherein one sequence of spreading code chips is provided to each transmitter while multiple sequences of spreading code chips are provided to each receiver;wherein a sequence of spreading code chips is used by a digital signal generator of a first transmitter of the plurality of transmitters to generate transmitted radio signals; andwherein multiple sequences of spreading code chips are used by a digital baseband processing section of a first receiver of the plurality of receivers to process received radio signals.
  • 2. The radar sensing system of claim 1, wherein the programmable code generation unit is configured to generate a plurality of different spreading codes.
  • 3. The radar sensing system of claim 1, wherein the programmable code generation unit is configured to generate a plurality of maximum length sequences.
  • 4. The radar sensing system of claim 1, wherein the programmable code generation unit is configured to generate a plurality of codes from a Hadamard code.
  • 5. The radar sensing system of claim 1, wherein the programmable code generation unit is configured to generate sequences from a Golay code.
  • 6. The radar sensing system of claim 1, wherein the programmable code generation unit is configured to generate sequences from a Frank-Zadoff-Chu code.
  • 7. The radar sensing system of claim 1, wherein the programmable code generation unit is configured to generate sequences from an APAS code.
  • 8. The radar sensing system of claim 1, wherein the programmable code generation unit comprises a control processor and a plurality of feedback shift registers, and wherein shift register feedback connections and shift register contents of the feedback shift registers are defined by the control processor.
  • 9. The radar sensing system of claim 8, wherein the programmable code generation unit is configured to load the plurality of feedback shift registers with any seed contents, as defined by the control processor, and wherein the programmable code generation unit is further configured to configure the plurality of feedback shift registers with any set of feedback connections, as defined by the control processor.
  • 10. The radar sensing system of claim 8, wherein the programmable code generation unit also comprises logic that alters the output of the feedback shift registers in order to alter properties of the sequences produced by the feedback shift registers.
  • 11. The radar sensing system of claim 10, wherein altering the output of the feedback shift registers includes balancing the DC properties of the sequences.
  • 12. A method for controlling a radar sensing system comprising a plurality of transmitters configured for installation and use on a vehicle, a plurality of receivers configured for installation and use on the vehicle, and a programmable code generation unit, the method comprising: transmitting, with the transmitters, radio signals;receiving, with the receivers, radio signals that include the transmitted radio signals transmitted by the transmitters and reflected from objects in an environment;processing, with a radio frequency (RF) front end of a first receiver of the plurality of receivers, the received radio signals and outputting processed radio signals;sampling, with an analog-to-digital converter (ADC) of the first receiver, the processed radio signals and outputting data samples;generating, with the programmable code generation unit, a sequence of spreading code chips used by a digital signal generator of a first transmitter of the plurality of transmitters to generate transmitted radio signals; andgenerating, with the programmable code generation unit, multiple sequences of spreading code chips used by a digital baseband processing section of the first receiver to process received radio signals.
  • 13. The method of claim 12 further comprising generating Hadamard sequences using the programmable code generation unit.
  • 14. The method of claim 12 further comprising generating Golay sequences using the programmable code generation unit.
  • 15. The method of claim 12 further comprising generating Frank-Zadoff-Chu sequences using the programmable code generation unit.
  • 16. The method of claim 12 further comprising generating APAS sequences using the programmable code generation unit.
  • 17. The method of claim 12 further comprising balancing, using a DC balancing subsystem of the programmable code generation unit, the DC balance of the spreading codes.
  • 18. A radar sensing system for a vehicle, the radar sensing system comprising: a transmitter configured for installation and use on a vehicle, and configured to transmit radio signals;a receiver configured for installation and use on the vehicle, and configured to receive radio signals that include the transmitted radio signals transmitted by the transmitters and reflected from objects in an environment; anda programmable code generation unit configured to provide sequences of spreading code chips to the transmitter and the receiver; andwherein a sequence of spreading code chips is used by the transmitter and the receiver to generate a same spreading code, which is used by the transmitter to generate the transmitted radio signals and used by the receiver to process the received radio signals.
  • 19. The radar sensing system of claim 18, wherein the transmitter and the receiver are a virtual transmitter-receiver pair.
  • 20. The radar sensing system of claim 18, wherein the transmitter comprises a digital signal processor and the receiver comprises a digital baseband processing section, and wherein the digital signal generator and the digital baseband processing section use the sequence of spreading code chips to generate the same spreading code.
  • 21. The radar sensing system of claim 20, wherein the digital signal processor and the digital baseband processing section use the same spreading code to generate the transmitted radio signals and to process the received radio signals, respectively.
  • 22. The radar sensing system of claim 18, wherein the programmable code generation unit is configured to generate a plurality of different spreading codes.
  • 23. The radar sensing system of claim 18, wherein the programmable code generation unit is configured to generate a plurality of maximum length sequences.
  • 24. The radar sensing system of claim 18, wherein the programmable code generation unit is configured to generate a plurality of codes from a Hadamard code.
  • 25. The radar sensing system of claim 18, wherein the programmable code generation unit is configured to generate sequences from a Golay code.
  • 26. The radar sensing system of claim 18, wherein the programmable code generation unit is configured to generate sequences from a Frank-Zadoff-Chu code.
  • 27. The radar sensing system of claim 18, wherein the programmable code generation unit is configured to generate sequences from an APAS code.
  • 28. The radar sensing system of claim 18, wherein the programmable code generation unit comprises a control processor and a plurality of feedback shift registers, and wherein shift register feedback connections and shift register contents of the feedback shift registers are defined by the control processor.
  • 29. The radar sensing system of claim 28, wherein the programmable code generation unit is configured to load the plurality of feedback shift registers with any seed contents, as defined by the control processor, and wherein the programmable code generation unit is further configured to configure the plurality of feedback shift registers with any set of feedback connections, as defined by the control processor.
  • 30. The radar sensing system of claim 28, wherein the programmable code generation unit also comprises logic that alters the output of the feedback shift registers in order to alter properties of the sequences produced by the feedback shift registers.
CROSS REFERENCE TO RELATED APPLICATIONS

The present application claims the filing benefits of U.S. provisional application, Ser. No. 62/457,394, filed Feb. 10, 2017, which is hereby incorporated by reference herein in its entirety.

US Referenced Citations (282)
Number Name Date Kind
1882128 Fearing Oct 1932 A
3374478 Blau Mar 1968 A
3735398 Ross May 1973 A
3750169 Strenglein Jul 1973 A
3896434 Sirven Jul 1975 A
4078234 Fishbein et al. Mar 1978 A
4176351 De Vita et al. Nov 1979 A
4566010 Collins Jan 1986 A
4882668 Schmid et al. Nov 1989 A
4910464 Trett et al. Mar 1990 A
4939685 Feintuch Jul 1990 A
5001486 Bächtiger Mar 1991 A
5034906 Chang Jul 1991 A
5087918 May et al. Feb 1992 A
5151702 Urkowitz Sep 1992 A
5175710 Hutson Dec 1992 A
5218619 Dent Jun 1993 A
5272663 Jones et al. Dec 1993 A
5280288 Sherry et al. Jan 1994 A
5302956 Asbury et al. Apr 1994 A
5341141 Frazier et al. Aug 1994 A
5345470 Alexander Sep 1994 A
5379322 Kosaka et al. Jan 1995 A
5497162 Kaiser Mar 1996 A
5508706 Tsou et al. Apr 1996 A
5581464 Woll et al. Dec 1996 A
5657021 Ehsani-Nategh et al. Aug 1997 A
5657023 Lewis et al. Aug 1997 A
5691724 Aker et al. Nov 1997 A
5712640 Andou Jan 1998 A
5724041 Inoue et al. Mar 1998 A
5892477 Wehling Apr 1999 A
5917430 Greneker, III et al. Jun 1999 A
5920285 Benjamin Jul 1999 A
5931893 Dent et al. Aug 1999 A
5959571 Aoyagi et al. Sep 1999 A
5970400 Dwyer Oct 1999 A
6048315 Chiao Apr 2000 A
6067314 Azuma May 2000 A
6069581 Bell et al. May 2000 A
6121872 Weishaupt Sep 2000 A
6121918 Tullsson Sep 2000 A
6151366 Yip Nov 2000 A
6163252 Nishiwaki Dec 2000 A
6184829 Stilp Feb 2001 B1
6191726 Tullsson Feb 2001 B1
6288672 Asano et al. Sep 2001 B1
6307622 Lewis Oct 2001 B1
6347264 Nicosia et al. Feb 2002 B2
6400308 Bell et al. Jun 2002 B1
6411250 Oswald et al. Jun 2002 B1
6417796 Bowlds Jul 2002 B1
6424289 Fukae et al. Jul 2002 B2
6547733 Hwang Apr 2003 B2
6583753 Reed Jun 2003 B1
6614387 Deadman Sep 2003 B1
6624784 Yamaguchi Sep 2003 B1
6674908 Aronov Jan 2004 B1
6714956 Liu et al. Mar 2004 B1
6747595 Hirabe Jun 2004 B2
6768391 Dent et al. Jul 2004 B1
6865218 Sourour Mar 2005 B1
6975246 Trudeau Dec 2005 B1
7066886 Song Jun 2006 B2
7119739 Struckman Oct 2006 B1
7289058 Shima Oct 2007 B2
7299251 Skidmore et al. Nov 2007 B2
7338450 Kristofferson et al. Mar 2008 B2
7395084 Anttila Jul 2008 B2
7460055 Nishijima et al. Dec 2008 B2
7474258 Arikan et al. Jan 2009 B1
7545310 Matsuoka Jun 2009 B2
7545321 Kawasaki Jun 2009 B2
7564400 Fukuda Jul 2009 B2
7567204 Sakamoto Jul 2009 B2
7609198 Chang Oct 2009 B2
7642952 Fukuda Jan 2010 B2
7663533 Toennesen Feb 2010 B2
7728762 Sakamoto Jun 2010 B2
7791528 Klotzbuecher Sep 2010 B2
7847731 Wiesbeck et al. Dec 2010 B2
7855677 Negoro et al. Dec 2010 B2
7859450 Shirakawa et al. Dec 2010 B2
8019352 Rappaport et al. Sep 2011 B2
8049663 Frank et al. Nov 2011 B2
8059026 Nunez Nov 2011 B1
8102306 Smith, Jr. et al. Jan 2012 B2
8154436 Szajnowski Apr 2012 B2
8330650 Goldman Dec 2012 B2
8390507 Wintermantel Mar 2013 B2
8471760 Szajnowski Jun 2013 B2
8532159 Kagawa et al. Sep 2013 B2
8547988 Hadani et al. Oct 2013 B2
8686894 Fukuda et al. Apr 2014 B2
8694306 Short et al. Apr 2014 B1
9121943 Stirlin-Gallacher et al. Sep 2015 B2
9239378 Kishigami et al. Jan 2016 B2
9239379 Burgio et al. Jan 2016 B2
9282945 Smith et al. Mar 2016 B2
9335402 Maeno et al. May 2016 B2
9541639 Searcy et al. Jan 2017 B2
9568600 Alland Feb 2017 B2
9575160 Davis et al. Feb 2017 B1
9599702 Bordes et al. Mar 2017 B1
9689967 Stark et al. Jun 2017 B1
9720073 Davis et al. Aug 2017 B1
9753121 Davis Sep 2017 B1
9753132 Bordes et al. Sep 2017 B1
9772397 Bordes et al. Sep 2017 B1
9791551 Eshraghi et al. Oct 2017 B1
9791564 Harris et al. Oct 2017 B1
9806914 Bordes et al. Oct 2017 B1
9829567 Davis et al. Nov 2017 B1
9846228 Davis et al. Dec 2017 B2
9869762 Alland et al. Jan 2018 B1
10092192 Lashkari Oct 2018 B2
20010002919 Sourour et al. Jun 2001 A1
20020004692 Nicosia et al. Jan 2002 A1
20020044082 Woodington Apr 2002 A1
20020075178 Woodington et al. Jun 2002 A1
20020118522 Ho et al. Aug 2002 A1
20020130811 Voigtaender Sep 2002 A1
20020147534 Delcheccolo Oct 2002 A1
20020155811 Prismantas Oct 2002 A1
20030001772 Woodington et al. Jan 2003 A1
20030011519 Breglia Jan 2003 A1
20030058166 Hirabe Mar 2003 A1
20030080713 Kirmuss May 2003 A1
20030102997 Levin Jun 2003 A1
20030235244 Pessoa et al. Dec 2003 A1
20040012516 Schiffmann Jan 2004 A1
20040015529 Tanrikulu et al. Jan 2004 A1
20040066323 Richter Apr 2004 A1
20040138802 Kuragaki et al. Jul 2004 A1
20050008065 Schilling Jan 2005 A1
20050069162 Haykin Mar 2005 A1
20050156780 Bonthron Jul 2005 A1
20050201457 Allred et al. Sep 2005 A1
20050225476 Hoetzel et al. Oct 2005 A1
20060012511 Dooi et al. Jan 2006 A1
20060036353 Wintermantel Feb 2006 A1
20060050707 Sterin Mar 2006 A1
20060093078 Lewis et al. May 2006 A1
20060109170 Voigtlaender et al. May 2006 A1
20060109931 Asai May 2006 A1
20060114324 Farmer et al. Jun 2006 A1
20060140249 Kohno Jun 2006 A1
20060181448 Natsume et al. Aug 2006 A1
20060244653 Szajnowski Nov 2006 A1
20060262007 Bonthron Nov 2006 A1
20060262009 Watanabe Nov 2006 A1
20070018884 Adams Jan 2007 A1
20070018886 Watanabe et al. Jan 2007 A1
20070109175 Fukuda May 2007 A1
20070120731 Kelly, Jr. et al. May 2007 A1
20070132633 Uchino Jun 2007 A1
20070152870 Woodington et al. Jul 2007 A1
20070152871 Puglia Jul 2007 A1
20070152872 Woodington Jul 2007 A1
20070164896 Suzuki et al. Jul 2007 A1
20070171122 Nakano Jul 2007 A1
20070182619 Honda et al. Aug 2007 A1
20070182623 Zeng Aug 2007 A1
20070188373 Shirakawa et al. Aug 2007 A1
20070200747 Okai Aug 2007 A1
20070279303 Schoebel Dec 2007 A1
20080208472 Morcom Aug 2008 A1
20080272955 Yonak et al. Nov 2008 A1
20090015459 Mahler et al. Jan 2009 A1
20090015464 Fukuda Jan 2009 A1
20090051581 Hatono Feb 2009 A1
20090072957 Wu et al. Mar 2009 A1
20090073025 Inoue Mar 2009 A1
20090074031 Fukuda Mar 2009 A1
20090079617 Shirakawa et al. Mar 2009 A1
20090085827 Orime et al. Apr 2009 A1
20090103593 Bergamo Apr 2009 A1
20090121918 Shirai et al. May 2009 A1
20090212998 Szajnowski Aug 2009 A1
20090237293 Sakuma Sep 2009 A1
20090267822 Shinoda et al. Oct 2009 A1
20090289831 Akita Nov 2009 A1
20090295623 Falk Dec 2009 A1
20100019950 Yamano et al. Jan 2010 A1
20100116365 McCarty May 2010 A1
20100156690 Kim et al. Jun 2010 A1
20100198513 Zeng et al. Aug 2010 A1
20100277359 Ando Nov 2010 A1
20100289692 Winkler Nov 2010 A1
20110006944 Goldman Jan 2011 A1
20110032138 Krapf Feb 2011 A1
20110074620 Wintermantel Mar 2011 A1
20110187600 Landt Aug 2011 A1
20110196568 Nickolaou Aug 2011 A1
20110248796 Pozgay Oct 2011 A1
20110279303 Smith, Jr. et al. Nov 2011 A1
20110279307 Song Nov 2011 A1
20110285576 Lynam Nov 2011 A1
20110291874 De Mersseman Dec 2011 A1
20110291875 Szajnowski Dec 2011 A1
20110292971 Hadani et al. Dec 2011 A1
20110298653 Mizutani Dec 2011 A1
20120001791 Wintermantel Jan 2012 A1
20120050093 Heilmann et al. Mar 2012 A1
20120105268 Smits et al. May 2012 A1
20120112957 Nguyen et al. May 2012 A1
20120133547 MacDonald et al. May 2012 A1
20120173246 Choi et al. Jul 2012 A1
20120195349 Lakkis Aug 2012 A1
20120257643 Wu et al. Oct 2012 A1
20120319900 Johansson et al. Dec 2012 A1
20130016761 Nentwig Jan 2013 A1
20130021196 Himmelstoss Jan 2013 A1
20130027240 Chowdhury Jan 2013 A1
20130069818 Shirakawa et al. Mar 2013 A1
20130102254 Cyzs Apr 2013 A1
20130113653 Kishigami et al. May 2013 A1
20130135140 Kishigami May 2013 A1
20130169485 Lynch Jul 2013 A1
20130176154 Bonaccio et al. Jul 2013 A1
20130214961 Lee et al. Aug 2013 A1
20130229301 Kanamoto Sep 2013 A1
20130244710 Nguyen et al. Sep 2013 A1
20130314271 Braswell et al. Nov 2013 A1
20130321196 Binzer et al. Dec 2013 A1
20140022108 Alberth, Jr. et al. Jan 2014 A1
20140028491 Ferguson Jan 2014 A1
20140035774 Khlifi Feb 2014 A1
20140070985 Vacanti Mar 2014 A1
20140085128 Kishigami Mar 2014 A1
20140111372 Wu Apr 2014 A1
20140139322 Wang et al. May 2014 A1
20140159948 Ishimori et al. Jun 2014 A1
20140220903 Schulz et al. Aug 2014 A1
20140253345 Breed Sep 2014 A1
20140285373 Kuwahara et al. Sep 2014 A1
20140327566 Burgio et al. Nov 2014 A1
20140348253 Mobasher et al. Nov 2014 A1
20150002329 Murad et al. Jan 2015 A1
20150002357 Sanford et al. Jan 2015 A1
20150035662 Bowers et al. Feb 2015 A1
20150061922 Kishigami Mar 2015 A1
20150103745 Negus et al. Apr 2015 A1
20150198709 Inoue Jul 2015 A1
20150204966 Kishigami Jul 2015 A1
20150204971 Kuehnle Jul 2015 A1
20150226848 Park Aug 2015 A1
20150234045 Rosenblum Aug 2015 A1
20150247924 Kishigami Sep 2015 A1
20150255867 Inoue Sep 2015 A1
20150301172 Ossowska Oct 2015 A1
20150323660 Hampikian Nov 2015 A1
20150331090 Jeong et al. Nov 2015 A1
20160003939 Stainvas Olshansky et al. Jan 2016 A1
20160018511 Nayyar et al. Jan 2016 A1
20160033631 Searcy et al. Feb 2016 A1
20160033632 Searcy et al. Feb 2016 A1
20160041260 Cao et al. Feb 2016 A1
20160061935 McCloskey et al. Mar 2016 A1
20160084941 Arage Mar 2016 A1
20160084943 Arage Mar 2016 A1
20160091595 Alcalde Mar 2016 A1
20160124086 Jansen et al. May 2016 A1
20160131752 Jansen May 2016 A1
20160139254 Wittenberg May 2016 A1
20160146931 Rao May 2016 A1
20160154103 Moriuchi Jun 2016 A1
20160213258 Lashkari Jul 2016 A1
20160238694 Kishigami Aug 2016 A1
20170010361 Tanaka Jan 2017 A1
20170023661 Richert Jan 2017 A1
20170023663 Subburaj et al. Jan 2017 A1
20170074980 Adib Mar 2017 A1
20170153316 Wintermantel Jun 2017 A1
20170219689 Hung et al. Aug 2017 A1
20170234968 Roger et al. Aug 2017 A1
20170293025 Davis et al. Oct 2017 A1
20170293027 Stark et al. Oct 2017 A1
20170307728 Eshraghi et al. Oct 2017 A1
20170309997 Alland et al. Oct 2017 A1
20170310758 Davis et al. Oct 2017 A1
20170336495 Davis et al. Nov 2017 A1
Foreign Referenced Citations (9)
Number Date Country
0725480 Nov 2011 EP
2374217 Apr 2013 EP
2821808 Jul 2015 EP
2751086 Jan 1998 FR
WO2015175078 Nov 2015 WO
WO2015185058 Dec 2015 WO
WO2016011407 Jan 2016 WO
WO2016030656 Mar 2016 WO
WO2017187330 Nov 2017 WO
Non-Patent Literature Citations (6)
Entry
International Search Report of the International Searching Authority from corresponding Patent Cooperation Treaty (PCT) Application No. PCT/IB18/50819, indicated completed on May 23, 2018.
Written Opinion of the International Searching Authority from corresponding Patent Cooperation Treaty (PCT) Application No. PCT/IB18/50819, indicated completed on May 23, 2018.
Chambers et al., An article entitled “Real-Time Vehicle Mounted Multistatic Ground Penetrating Radar Imaging System for Buried Object Detection,” Lawrence Livermore National Laboratory Reports (LLNL-TR-615452), Feb. 4, 2013; Retrieved from the Internet from https://e-reports-ext.llnl.gov/pdf/711892.pdf.
Fraser, “Design and simulation of a coded sequence ground penetrating radar,” In: Diss. University of British Columbia, Dec. 3, 2015.
Zhou et al., “Linear extractors for extracting randomness from noisy sources,” In: Information Theory Proceedings (ISIT), 2011 IEEE International Symposium on Oct. 3, 2011.
V. Giannini et al., “A 79 GHz Phase-Modulated 4 GHz-BW CW Radar Transmitter in 28 nm CMOS,” in IEEE Journal of Solid-State Circuits, vol. 49, No. 12, pp. 2925-2937, Dec. 2014. (Year: 2014).
Related Publications (1)
Number Date Country
20180231656 A1 Aug 2018 US
Provisional Applications (1)
Number Date Country
62457394 Feb 2017 US