GNSS (Global Navigation Satellite System) positioning consists of the computation of the position of the antenna of a GNSS receiver using signals that are received from GNSS satellites. In order to perform such computation of the position of the antenna of a GNSS receiver, one or more GNSS satellite can be used. Current examples of GNSS are the GPS (Global Positioning System), GLONASS (Global Navigation Satellite System), BeiDou, and Galileo, created and maintained by the US, Russia, China, and European Union, respectively.
The position performance that can be achieved using GNSS depends on several factors, such as Quality of the receiver hardware, including antenna; Interference level in the environment surrounding the receiver antenna; Atmospheric activity; Number of satellites being used; Quality of the satellite clock and modulation; Number of signals per satellite being used; Quality of the data processing algorithms; and Nature and quality of the information used to model the observation data (often called correction data).
When operating autonomously, GNSS receivers used information broadcast by each GNSS control segment in order to model the signal observables. This information is contained in what is often referred to as broadcast ephemeris. The broadcast ephemeris data sent as part of the satellite signals typically delivers meter-level positions when used to process observations. Because there is a great demand for position accuracies better than a meter in several applications, several techniques were developed aiming at augmenting GNSS performance by generating, transmitting and employing high accuracy correction data. Each of these techniques lack in ability to accurately reflect the position of a GNSS receiver.
Accordingly, because of the limitations of existing systems, a new locally enhanced GNSS wide-area augmentation system is needed.
A more complete understanding of the present invention may be derived by referring to the detailed description and claims when considered in connection with the Figures, wherein like reference numbers refer to similar items throughout the Figures, and:
Embodiments of the present invention include a locally enhanced GNSS wide-area augmentation system that performs a method of processing GNSS data derived from observations at one or more stations, of GNSS signals of multiple satellites, comprising obtaining a set of wide-area correction parameters; generating a local correction to the wide-area correction; and making available the local correction data.
Some of the several modalities of GNSS correction techniques are discussed below.
In this technique, as shown in
In this technique, as shown in
Similar to the regional network technique, in this approach, as shown in
GNSS corrections can be transmitted by several means from their source to the rover receiver. Some examples of those means include Radio communication, as illustrated in
Full GNSS performance is only achieved when all GNSS observation model components can be accurately modelled or eliminated by means of combining GNSS observations. How well GNSS observation components are known, or how well they can be eliminated, determines the level of performance of a GNSS system. The two most fundamental GNSS position performance aspects are the convergence time (also often referred to as initialization time) and the positioning accuracy (or precision for certain applications). In the context of corrections it is convenient to separate the GNSS observation components into measurement biases, satellite geometric effects, and atmospheric effects.
The measurement biases are the differences between different types of measurements. These differences are often due to hardware delays during the transmission and reception of the GNSS signal, and, although they are not necessarily completely fixed over time, they are typically well behaved. Those biases can include difference between measurements of different frequencies for the same satellite and/or receiver, and difference between types of measurements (e.g. pseudorange and carrier-phase) for the same satellite and/or receiver.
Satellite geometric effects are, in this context, the components directly related to the satellite behavior. Those include the geometric distance between receiver and satellite antennas (typically postulated as a function of receiver and satellite coordinates), and the satellite clock error. Satellite position and clock error are ubiquitous components of the GNSS observation model. This means that these quantities are valid for any receiver able to observe that satellite. The ubiquitous nature of satellite orbit and clock errors makes these components to be very suitable for wide-area or global correction systems, since the same set of parameters of a given satellite is valid for anywhere on earth. On other hand, satellite clock errors change in a non-predictive manner over short periods of time. Because non-predictive short-term behavior, centimeter-level positioning can only be obtained when the clock correction data is transmitted at a reasonably high rate, with intervals of not more than few seconds.
Atmospheric effects are the impacts caused by earth's atmospheric layer on GNSS signals. These are typically divided into two major components, imposed by earth's ionospheric and tropospheric layers. These two layers interact with the GNSS signals in different ways. However the atmospheric effects have, in general, the characteristic of behaving differently over reasonably short distances. Not only the behavior of the atmosphere changes over space, its variation is often not easy to be properly modelled due to the non-regular features of the atmospheric physics. In order to properly model atmospheric effects a certain close proximity between monitoring sites is required, especially if intended for centimeter-level accurate positioning. Nevertheless, the atmospheric effects are very often predictable over short periods of time. Aside from special cases such as ionospheric scintillation, weather fronts, and solar/geomagnetic storms, the atmospheric effects can be assumed to behave reasonably well over time, with correlation times that can span over several seconds or even minutes in certain cases. The aforementioned single base and multi-base approaches suffer from these same effects.
The satellite geometric effects and the atmospheric effects are somewhat orthogonal in terms of their predictability over time or space. While satellite geometric effects are predictable over space and hard to model over time (at least as far as satellite clocks go), atmospheric effects are, in general, predictable over time but harder to model over space. Systems that try to combine these two classes of effects into a single correction stream often do not take full advantage of their individual natures.
Wide-area, global and certain regional correction systems typically address the advantages of understanding the characteristics of the different components of the GNSS signal by separately modelling each of those components.
In addition to the satellite effects, atmospheric effects can also be modelled as part of the system solution. However in the case of wide-area and global systems, the atmospheric modelling is not accurate enough for achieving ultimate GNSS performance. By ultimate performance one should understand a performance that is reasonably comparable to one that which can be obtained using a local correction stream generated by a nearby reference station. The wide-area correction model is illustrated in
Certain regional streams separate the different components of the GNSS signal in their correction stream in order to optimize bandwidth usage. This is illustrated in
The optimal combination of GNSS observation components is often not achieved by existing correction generation and dissemination systems. In order to do so it is necessary to have the correct balance on how the correction data information is distributed not only over time (or over bandwidth usage), but also over space. Finding the correct balance between these aspects yields into the optimal usage of GNSS data, where broad coverage areas are reached, and yet ultimate accuracies can be obtained at time and locations of interest. At the same time, the balanced combination of the correction components generation and dissemination leads to a minimization of the bandwidth required to achieve the desired performance.
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This concept can also be illustrated in terms of how it deals with the GNSS signal components, as shown in
Because the wide-area is ubiquitous within its area of coverage, it can be used for more than one localized enhancement correction source, as illustrated in
The local enhancement concept can also be applied to wide-area correction that contains atmospheric information such as an SBAS system, as illustrated in
Because wide-area and local streams can use different sets of reference stations, and because the data processing is essentially different, the correction data generation latencies achieved by either system might be different. Added to the network data and processing there is also the latency introduced by the communication channel, which can also be different for each source, as pointed out earlier. Another source of difference for the latency of the corrections as perceived by the rover receiver is the size of the correction messages. Longer messages take longer to be received, decoded, and interpreted. Because of that the rate of corrections can also differ between wide-area and local corrections. With proper encoding and correction techniques the local correction stream can be built in a way to minimize the correction latency as perceived by the rover receiver, yet taking advantage of a potentially more latent wide-area correction source. In other words, the local augmentation can deliver corrections at a faster rate and shorter latency than what is delivered by the wide-area correction system. Such an approach still takes advantage of the existence of a wide-area stream, furthering the benefits for the user receiver with the augmentation of the localization system.
In some embodiments, the local correction parameters contain auxiliary data, may include text messages, alerts, information codes, further correction messages; integrity information for the wide-area corrections, integrity information for the local corrections, quality indicators for the wide-area corrections; quality indicators for the local corrections; atmospheric activity information; and weather warnings and information data.
In some embodiments, the local correction data is made available over one or more communication channels, such as, but not limited to, an L-band satellite, a GNSS satellite, a radio transmitter, the Internet, a wifi network, a cellphone network, Bluetooth, satellite radio, a satellite telephone, a television signal; and a local radio signal.
In some embodiments, the global correction data is made available over one or more communication channels, such as, but not limited to, an L-band satellite, a GNSS satellite, a radio transmitter, the Internet, a wifi network, a cellphone network, Bluetooth, satellite radio, a satellite telephone, a television signal; and a local radio signal.
In some embodiments, the local correction data and the global correction data are made available through different communication channels comprising any combination of an L-band satellite, a GNSS satellite, a radio transmitter, the Internet, a wifi network, a cellphone network, Bluetooth, satellite radio, a satellite telephone, a television signal; and a local radio signal.
It will be understood that the global correction and the local correction may be transmitted at different rates and/or transmitted with different latencies. Further, in embodiments, the local reference network is a subset of the global reference network.
Method 200 may further comprise using at least one of the local correction data and the global correction data by a GNSS receiver to determine a set of parameters comprising antenna position, antenna acceleration, antenna velocity time, tropospheric delays, ionospheric delays, amount of water in the atmosphere, and amount of electrons in the atmosphere. This may be performed when the antenna of the GNSS receiver is moving.
Method 200 may also comprise transmitting the data of the GNSS receiver to the local processing center and use as an additional reference station; and transmitting the data of the GNSS receiver to the wide-area processing center and use as an additional reference station.
The embodiments and examples set forth herein were presented in order to best explain the present invention and its practical application and to thereby enable those of ordinary skill in the art to make and use the invention. However, those of ordinary skill in the art will recognize that the foregoing description and examples have been presented for the purposes of illustration and example only. The description as set forth is not intended to be exhaustive or to limit the invention to the precise form disclosed. Many modifications and variations are possible in light of the teachings above without departing from the spirit and scope of the forthcoming claims.
This application which claims priority to U.S. Provisional Patent Application entitled “LOCALLY ENHANCED GNSS WIDE-AREA AUGMENTATION SYSTEM,” Ser. No. 61/946,272, filed Feb. 28, 2014, the disclosure of which is hereby incorporated entirely herein by reference.
Number | Date | Country | |
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61946272 | Feb 2014 | US |