Estimating geolocation of a user terminal

Patent metadata

Field	Value
Publication number	US-11716702-B2
Application number	US-202217819773-A
Country	US
Kind code	B2
Filing date	Aug 15, 2022
Priority date	Oct 16, 2020
Publication date	Aug 1, 2023
Grant date	Aug 1, 2023

Abstract

A system and method for estimating a geolocation The method includes subdividing the camping cell into grid points where each grid point of the grid points has an associated relative offset from a camping beam center; illuminating the camping cell with a camping beam and each of the adjacent cells with adjacent beams; receiving a camping beam signal strength and adjacent beams signal strengths for each grid point of the grid points; profiling, at each grid point of the grid points, ratios of the camping beam signal strength to each one of the adjacent beams signal strengths; mapping the ratios and the associated relative offset of each grid point of the grid points; and estimating a relative geolocation of a User Terminal (UT) from the camping beam center based on a UT camping beam signal strength and UT adjacent beams signal strengths.

First claim

We claim as our invention:

1. A method for estimating a geolocation, the method comprising:
illuminating, with a platform, a camping cell and adjacent cells of the camping cell with a camping beam and each of the adjacent cells with adjacent beams;
receiving a camping beam signal strength, a camping beam center, adjacent beams signal strengths, and an associated relative offset from the camping beam center for points in the camping cell;
profiling, at each point of the points, ratios of the camping beam signal strength to each one of the adjacent beams signal strengths;
mapping the ratios and the associated relative offset of each point of the points; and
estimating a relative geolocation of a user terminal (UT) from the camping beam center based on a UT camping beam signal strength and UT adjacent beams signal strengths,
wherein the mapping comprises pretraining neural network weights of a neural network with ratios and the associated relative offsets, and the estimating estimates the relative geolocation of the UT with the neural network.

2. The method of claim 1 , further comprising receiving a UT geolocation, a UT camping beam signal strength and UT adjacent beams signal strengths; and training the neural network with the UT geolocation, the UT camping beam signal strength and UT adjacent beams signal strengths.

3. The method of claim 1 , wherein the receiving comprises measuring, at one or more of the points, the camping beams signal strength and the adjacent beams signal strengths.

4. The method of claim 1 , wherein the receiving comprises computing, at one or more of the points, the camping beams signal strength and the adjacent beams signal strengths.

5. The method of claim 1 , further comprising adjusting the camping beam signal strength and each one of the adjacent beams signal strengths to a reference transmit power.

6. The method of claim 1 , wherein the ratios are calculated as Pc/Pai or 10*log 10(Pc/Pai), with the Pc set to the camping beam signal strength and the Pai set to each one of the adjacent beams signal strengths in turn.

7. The method of claim 1 , further comprising:
predicting a location estimate offset based on a slow varying Geosynchronous-Earth Orbit satellite pointing error or a movement of the camping beam center based on the relative geolocation, an actual geolocation of the UT and ephemeris of the platform; and
compensating for the location estimate offset in the estimating.

8. The method of claim 1 , wherein the neural network is updated during operation with a geolocation information for a pilot UT disposed in the camping cell.

9. A method for estimating a geolocation, the method comprising:
illuminating, with a platform, a camping cell and adjacent cells of the camping cell with a camping beam and each of the adjacent cells with adjacent beams;
receiving a camping beam signal strength, a camping beam center, adjacent beams signal strengths, and an associated relative offset from the camping beam center for points in the camping cell;
profiling, at each point of the points, ratios of the camping beam signal strength to each one of the adjacent beams signal strengths;
mapping the ratios and the associated relative offset of each point of the points; and
estimating a relative geolocation of a user terminal (UT) from the camping beam center based on a UT camping beam signal strength and UT adjacent beams signal strengths,
wherein the mapping comprises populating a look up table (LUT) with ratios and the associated relative offset, and the estimating by interpolation from measured ratios of the UT camping beam signal strength and the UT adjacent beams signal strengths between the ratios of points in the LUT to find a best match, and determining the relative geolocation of the UT based on the best match.

10. The method of claim 9 , further comprising receiving a UT geolocation, a UT camping beam signal strength and UT adjacent beams signal strengths, wherein the populating comprises adding the UT geolocation, the UT camping beam signal strength and UT adjacent beams signal strengths to the LUT.

11. The method of claim 9 , wherein the receiving comprises measuring, at one or more of the points, the camping beams signal strength and the adjacent beams signal strengths.

12. The method of claim 9 , wherein the receiving comprises computing, at one or more of the points, the camping beams signal strength and the adjacent beams signal strengths.

13. The method of claim 9 , further comprising adjusting the camping beam signal strength and each one of the adjacent beams signal strengths to a reference transmit power.

14. The method of claim 9 , wherein the ratios are calculated as Pc/Pai or 10*log 10(Pc/Pai), with the Pc set to the camping beam signal strength and the Pai set to each one of the adjacent beams signal strengths in turn.

15. The method of claim 9 , further comprising:
predicting a location estimate offset based on a slow varying Geosynchronous-Earth Orbit satellite pointing error or a movement of the camping beam center based on the relative geolocation, an actual geolocation of the UT and ephemeris of the platform; and
compensating for the location estimate offset in the estimating.

16. A method for estimating a geolocation, the method comprising:
illuminating, with a platform, a camping cell and adjacent cells of the camping cell with a camping beam and each of the adjacent cells with adjacent beams;
receiving a camping beam signal strength, a camping beam center, adjacent beams signal strengths, and an associated relative offset from the camping beam center for points in the camping cell;
profiling, at each point of the points, ratios of the camping beam signal strength to each one of the adjacent beams signal strengths;
mapping the ratios and the associated relative offset of each point of the points;
estimating a relative geolocation of a user terminal (UT) from the camping beam center based on a UT camping beam signal strength and UT adjacent beams signal strengths;
predicting a location estimate offset based on a slow varying Geosynchronous-Earth Orbit satellite pointing error or a movement of the camping beam center based on the relative geolocation, an actual geolocation of the UT and ephemeris of the platform; and
compensating for the location estimate offset in the estimating.

17. The method of claim 16 , wherein the platform is selected from a High-Altitude Platform (HAP), Geosynchronous Earth Orbit (GEO) satellite, a Medium Earth Orbit (MEO), a Low Earth Orbit (LEO) satellite, an airplane, or a platform 20,000 feet or above sea-level.

18. The method of claim 16 , wherein the points are normalized to a triple radius cross point.

19. The method of claim 16 , wherein the camping beam signal strength, and the adjacent beams signal strengths are simulated using a beam pattern in a far field.

20. The method of claim 16 , wherein a frequency of the compensating is based on a movement speed of the platform relative to the camping beam center.

Assignees

• Hughes Network Systems Llc

Inventors

• Chen Liping
• Lee Lin-Nan

Classifications

• H04B17/318

  Received signal strength · CPC title

• H04W64/006 Primary

  with additional information processing, e.g. for direction or speed determination · CPC title

• G01S5/0284

  Relative positioning · CPC title

• H04W24/10

  Scheduling measurement reports {; Arrangements for measurement reports} · CPC title

• G06F2218/12

  Classification; Matching · CPC title