GNSS forecast impacting receiver startup
Disclosed is reducing starting time for a GNSS receiver that has an imprecise initial starting location by requesting starting assistance from a CDN that caches predictive data including first data indicated predicted LOS visibility from the receiver to individual satellites, wherein the request includes the imprecise initial staring location, receiving, from the CDN, data that includes a first block of the predictive data for the imprecise initial staring location and further adjoining second blocks of predictive data for areas surrounding the imprecise staring location, determining, by the GNSS receiver, commonly available satellites that have visibility from locations in both the first block and the second block, and calculating a first starting position using weighted values for the satellites, the commonly available satellites having higher weighted value than satellites without visibility in both locations, whereby position uncertainty of the first starting position is reduced from the imprecise initial starting location.
1. A method of reducing starting time for a Global Navigation Satellite System (GNSS) receiver that has an imprecise initial starting location, the method including:
requesting starting assistance, by the GNSS receiver, from a Content Delivery Network (CDN) that caches predictive data including first data indicated predicted LOS visibility from the receiver to individual satellites, wherein the request includes the imprecise initial staring location;
receiving, from the CDN, data that includes a first block of the predictive data for the imprecise initial staring location and further adjoining second blocks of predictive data for areas surrounding the imprecise staring location;
as a first iteration:
determining, by the GNSS receiver, commonly available satellites that have visibility from locations in both the first block and the second block; and
calculating a first starting position using weighted values for the satellites, the commonly available satellites having higher weighted value than satellites without visibility in both locations, whereby position uncertainty of the first starting position is reduced from the imprecise initial starting location.
2. The method of claim 1 , further including, as a second iteration:
determining, by the GNSS receiver, additional commonly available satellites that have visibility from both locations in the first block and locations in the second block; and
calculating a second starting position using updated weighted values for the satellites, the commonly available satellites and additional commonly available satellites having higher weighted value than satellites without visibility in both locations, whereby position uncertainty of the second starting position is reduced from the first starting position.
3. The method of claim 1 , wherein the determining occurs by collating the adjoining blocks.
4. The method of claim 1 , wherein the predictive data includes second data indicating predicted NLOS visibility from the receiver to the individual satellites.
5. The method of claim 1 , further including:
the imprecise staring location and the areas surrounding the starting location having no common satellites;
waiting for a next position fix; and
repeating the steps of receiving, determining, and choosing.
6. The method of claim 1 , further including:
determining satellites that are not commonly available in the first block and the further adjoining blocks; and
ignoring satellites that are not commonly available.
7. The method of claim 1 , wherein the predictive data includes second data indicating predicted NLOS visibility from the receiver to the individual satellites.
8. A non-transitory computer readable storage medium impressed with computer program instructions to reduce starting time for a Global Navigation Satellite System (GNSS) receiver that has an imprecise initial starting location, the instructions, when executed on a processor, implement a method comprising:
requesting starting assistance, by the GNSS receiver, from a Content Delivery Network (CDN) that caches predictive data including first data indicated predicted LOS visibility from the receiver to individual satellites, wherein the request includes the imprecise initial staring location;
receiving, from the CDN, data that includes a first block of the predictive data for the imprecise initial staring location and further adjoining second blocks of predictive data for areas surrounding the imprecise staring location;
as a first iteration:
determining, by the GNSS receiver, commonly available satellites that have visibility from locations in both the first block and the second block; and
calculating a first starting position using weighted values for the satellites, the commonly available satellites having higher weighted value than satellites without visibility in both locations, whereby position uncertainty of the first starting position is reduced from the imprecise initial starting location.
9. The non-transitory computer readable storage medium of claim 8 , further including, as a second iteration:
determining, by the GNSS receiver, additional commonly available satellites that have visibility from both locations in the first block and locations in the second block;
calculating a second starting position using updated weighted values for the satellites, the commonly available satellites and additional commonly available satellites having higher weighted value than satellites without visibility in both locations, whereby position uncertainty of the second starting position is reduced from the first starting position.
10. The non-transitory computer readable storage medium of claim 8 , wherein the determining occurs by collating the adjoining blocks.
11. The non-transitory computer readable storage medium of claim 8 , wherein the predictive data includes second data indicating predicted NLOS visibility from the receiver to the individual satellites.
12. The non-transitory computer readable storage medium of claim 8 , further including:
the imprecise staring location and the areas surrounding the starting location having no common satellites;
waiting for a next position fix; and
repeating the steps of receiving, determining, and choosing.
13. The non-transitory computer readable storage medium of claim 8 , wherein the predictive data includes second data indicating predicted NLOS visibility from the receiver to the individual satellites.
14. A system for reducing starting time for a Global Navigation Satellite System (GNSS) receiver that has an imprecise initial starting location, the system including a processor, memory coupled to the processor, and computer instructions from the non-transitory computer readable storage media of claim 8 loaded into the memory.
15. A method of providing a fast and accurate convergence during startup, the method comprising:
beginning at an initial location with an initial location estimate, whereby the initial location estimate is inaccurate;
requesting GNSS forecast data about cuboids in a geographic volume including the initial location estimate;
receiving the GNSS forecast data for the geographic volume and extracting predicted satellite visibility from the GNSS forecast data for candidate locations proximate to the initial location estimate;
ascertaining, for each candidate location, a predicted signal to noise ratio (“predicted SNR”) based on the predicted satellite visibility;
receiving GNSS satellite signals and, based on the received GNSS satellite signals, ascertaining a detected signal to noise ratio (“detected SNR”);
comparing the predicted SNRs with the detected SNR; and
determining, based on the comparing, a probability that the receiver is at the respective candidate location.
16. The method of claim 15 , wherein the comparing uses a Kalman filter, and further including generating a Kalman filter by:
creating an input vector based on the detected SNR;
creating a state matrix based on predicted SNR of each satellite and predicted relation between each pair of satellites;
wherein predicted inaccuracy and predicted relation between pairs are derived from the GNSS forecast data;
creating a prediction state matrix based on the input vector and the state matrix;
obtaining a first sample of satellite data and first measurement error; and
updating the state matrix using the predicted state matrix and the first sample of satellite data.
17. The method of claim 15 , wherein the geographic volume is a height of not exceeding 1 tile.
18. A non-transitory computer readable storage medium impressed with computer program instructions to provide a fast and accurate convergence during startup, the instructions, when executed on a processor, implement a method comprising:
beginning at an initial location with an initial location estimate, whereby the initial location estimate is inaccurate;
requesting GNSS forecast data about cuboids in a geographic volume including the initial location estimate;
receiving the GNSS forecast data for the geographic volume and extracting predicted satellite visibility from the GNSS forecast data for candidate locations proximate to the initial location estimate;
ascertaining, for each candidate location, a predicted signal to noise ratio (“predicted SNR”) based on the predicted satellite visibility;
receiving GNSS satellite signals and, based on the received GNSS satellite signals, ascertaining a detected signal to noise ratio (“detected SNR”);
comparing the predicted SNRs with the detected SNR; and
determining, based on the comparing, a probability that the receiver is at the respective candidate location.
19. The non-transitory computer readable storage medium of claim 18 , wherein the comparing uses a Kalman filter, and further including generating a Kalman filter by:
creating an input vector based on the detected SNR;
creating a state matrix based on predicted SNR of each satellite and predicted relation between each pair of satellites;
wherein predicted inaccuracy and predicted relation between pairs are derived from the GNSS forecast data;
creating a prediction state matrix based on the input vector and the state matrix;
obtaining a first sample of satellite data and first measurement error; and
updating the state matrix using the predicted state matrix and the first sample of satellite data.
20. A system for provide a fast and accurate convergence during startup, the system including a processor, memory coupled to the processor, and computer instructions from the non-transitory computer readable storage media of claim 18 loaded into the memory.