METHOD AND SYSTEM FOR INTEGRATED TIMING MEASUREMENTS

• US 20120029867A1
• Filed: 02/17/2010
• Published: 02/02/2012
• Est. Priority Date: 02/17/2009
• Status: Abandoned Application

• Current Assignee: Andrew LLC (CommScope Holding Company, Inc.)
• Original Assignee: Andrew LLC (CommScope Holding Company, Inc.)
• Inventors: Maher, George, Osinusi, Tosin, Carlson, John
• Application Number:
  US13/147,887
• Publication Number:
  US 20120029867A1
• Time in Patent Office: Days
• US Class Current: 702/150
• CPC Class Codes: G01S 5/02216 Timing or synchronisation of the receivers

Abstract

A method and system for determining the location of a mobile appliance in a communications system having a plurality of nodes. The plurality of nodes are tasked to measurement the time of arrival (TOA) of the signal transmitted by the mobile appliance in an assigned time slot across multiple frames of data. TOA measurement data may be derived from ones of the multiple frames of data where the derived TOA measurement data is non-coherently integrated across the ones of the multiple frames of data. A location estimate of the mobile appliance may then be determined as a function of the derived TOA measurement data.

Claims

1. A method of determining the location of a mobile appliance in a communications system having a plurality of nodes comprising the steps of:

(a) tasking a plurality of nodes to collect multiple frames of data from one or more signals transmitted by the mobile appliance;

(b) deriving time of arrival (TOA) measurement data from ones of the multiple frames of data; and

(c) determining a location estimate of the mobile appliance as a function of the derived TOA measurement data,

wherein the derived TOA measurement data is non-coherently integrated across the ones of the multiple frames of data.

2. The method of claim 1 wherein the collection of multiple frames of data is synchronous.

3. The method of claim 1 wherein the step of determining a location estimate further comprises determining location estimates for ones of the multiple frames and averaging the location estimates to determine a final location estimate

4. The method of claim 1 wherein the step of deriving further comprises combining individual TOA measurement data from respective frames of collected data.

5. The method of claim 4 wherein the combining further comprises determining an average or median of the individual TOA measurement data.

6. The method of claim 1 further comprising the step of deriving a TOA quality metric.

7. The method of claim 6 wherein the TOA quality metric is used to filter TOA measurement data or weight TOA measurement data.

8. The method of claim 6 wherein the quality metric is a function of an amount of variation in the TOA measurement data across the ones of the multiple frames.

9. The method of claim 1 wherein TOA measurement data is derived using an ambiguity function.

10. The method of claim 9 further comprising the step of deriving a TOA quality metric wherein the metric is a function of a comparison of the height of the integrated TOA measurement data to an average of individual data frame ambiguity function peaks.

11. The method of claim 1 wherein TOA measurement data is derived from independent RF channels.

12. The method of claim 11 further comprising the step of weighting the integrated TOA measurement data as a function of a comparison of data between at least two independent RF channels.

13. The method of claim 1 further comprising the step of weighting the integrated TOA measurement data as a function of the number of integrated frames of data.

14. A method of determining the location of a mobile appliance in a communications system having a plurality of nodes comprising the steps of:

(a) collecting multiple frames of signal data transmitted by the mobile appliance;

(b) determining time of arrival (TOA) measurements for ones of the multiple frames using an ambiguity function;

(c) determining a TOA quality metric for the ones of the multiple frames; and

(d) determining a location of the mobile appliance as a function of the determined TOA measurements and TOA quality metric,

wherein the TOA quality metric is used to filter or weight one or more of the determined TOA measurements.

15. The method of claim 14 wherein the step of determining a location further comprises determining location estimates for ones of the multiple frames and averaging the location estimates to determine a final location estimate.

16. The method of claim 14 wherein the step of determining TOA measurements further comprises combining individual TOA measurements into a composite TOA measurement.

17. The method of claim 16 wherein the composite measurement TOA is an average or median TOA measurement.

18. The method of claim 16 wherein the composite TOA measurement is a function of a sum of individual ambiguity function magnitudes across two or more frames.

19. The method of claim 14 wherein the quality metric is determined as a function of the height of the ambiguity function magnitude above noise level.

20. The method of claim 14 wherein the step of determining a quality metric further comprises subtracting a mean of a noise correlation sum from a peak ambiguity function.

21. The method of claim 14 wherein the quality metric is determined as a function of a variation in the TOA measurements across two or more frames.

22. The method of claim 14 wherein the collection of multiple frames of data is synchronous.

23. The method of claim 14 wherein the TOA measurements are determined from data collected from independent RF channels.

24. A method of determining the location of a mobile appliance comprising the steps of:

(a) collecting multiple time slots of signal data transmitted by the mobile appliance;

(b) determining time of arrival (TOA) measurements for each of the collected multiple slots using an ambiguity function;

(c) determining a TOA quality metric;

(d) filtering TOA measurements as a function of the quality metric;

(e) combining filtered TOA measurements into a composite TOA measurement as a function of a sum of corresponding ambiguity function magnitudes; and

(f) determining a location estimate of the mobile appliance as a function of the composite TOA measurement.

25. The method of claim 24 wherein the TOA quality metric is determined as a function of the height of the ambiguity function magnitudes above noise level.

26. The method of claim 24 wherein the step of determining a quality metric further comprises subtracting a mean of a noise correlation sum from a peak ambiguity function.

27. The method of claim 24 wherein the TOA quality metric is used to filter or weight one or more of the determined TOA measurements.

28. The method of claim 24 wherein the signal data is collected from independent RF channels.

29. In a communications system having a plurality of nodes, a method of determining the location of a mobile device as a function of time of arrival (TOA) measurement data derived from signals received from the device at the nodes, the improvement comprising the step of determining a non-coherently integrated TOA measurement from multiple individual TOA measurements.

30. In a communications system having a plurality of nodes, a method of determining the location of a mobile device as a function of time of arrival (TOA) measurement data derived from signals received from the device, the improvement comprising the step of using a non-coherently integrated TOA measurement at a particular node in the determination of the location estimate if there is insufficient individual time slot TOA measurement data from the particular node that exceeds a predetermined TOA measurement quality threshold.

31. The method of claim 30 wherein the threshold is selected from the group consisting of reporting nodes, quality of TOA measurement data, and combinations thereof.

32. The method of claim 30 wherein the step of using a non-coherently integrated TOA is a function of the number of nodes contributing acceptable TOA measurements.

33. A method of determining the location of a mobile appliance in a communications system having a plurality of nodes comprising the steps of:

(a) tasking one or more of the plural nodes to synchronously collect data transmitted by the mobile appliance;

(b) creating a reference signal for data collected by a first node in a first time slot;

(c) correlating the reference signal with data collected by a second node in the same time slot using an ambiguity function;

(d) determining a quality metric as a function of a degree of correlation between the reference signal and data collected by the second node; and

(e) determining a location estimate of the mobile appliance as a function of the data collected by the first and second nodes and the determined quality metric.

34. The method of claim 33 wherein the quality metric is used to filter or weight the data collected by the first and second nodes prior to determining the location estimate.