System and method for wireless location performance prediction

• US 7,146,298 B2
• Filed: 08/24/2005
• Issued: 12/05/2006
• Est. Priority Date: 05/05/2000
• Status: Expired due to Term

• Current Assignee: Workday Incorporated
• Original Assignee: TechnoCom Corporation
• Inventors: Dessouky, Khaled, Proietti, Mario, Blakely, Robert, Motamedi, Masoud
• Primary Examiner(s): JONES, HUGH M
• Application Number:
  US11/211,192
• Publication Number:
  US 20050282540A1
• Time in Patent Office: 468 Days
• Field of Search: 703/6, 455/422.1, 701/214
• US Class Current: 703/6
• CPC Class Codes: H04W 16/18 Network planning tools
• CPC Class Codes: H04W 24/00 Supervisory, monitoring or testing arrangements
• CPC Class Codes: H04W 64/00 Locating users or terminals or network equipment for network management purposes, e.g. mobility management

Abstract

The software of the present invention predicts the performance of a wireless location system, including its accuracy, availability, and coverage. The tool can determine if the deployed location sensors meet, exceed, or fall short of providing the expected coverage and performance. The tool allows the location system designer to eliminate redundancies if not all sensors are needed and propose additional sites where coverage holes are present. The software tool includes a graphical user interface for ease of use.

Claims

1. A method for analyzing performance of a wireless location system comprising:

storing data related to location equipment, wireless infrastructure, handsets and terrain;

generating a site file for predicting path loss and predicting time/angle error based on the stored terrain data;

computing multi-site forward and multi-site reverse link signal strengths for determining coverage of the location system;

generating multi-site margin data and multi-site delay/angle error data from the computed multi-site forward and reverse link signal strengths and the stored data; and

generating location error estimates for the wireless location system from the predicted delay/angle error data.

2. The method of claim 1, further comprising displaying the generated error estimates in a map.

3. The method of claim 1, further comprising storing morphology data.

4. The method of claim 1, wherein the step of generating a site file comprises:

computing a propagation prediction model to generate a path loss from a mobile unit to each of a plurality of receiving sites;

computing loss due to antenna pattern; and

computing time/angle errors from the mobile unit to each of the plurality of receiving sites.

5. The method of claim 4, wherein the site file is a radial site file and the path loss includes effects of diffraction and antenna height at each point along each radial in the radial site file.

6. The method of claim 4, wherein the margin data comprises a margin map and the multi-site delay/angle error data comprises a multi-site delay/angle error map, and wherein the generating location error estimates comprises generating a location error estimate map for the wireless location system from covariance at each point in the margin map and the multi-site delay/angle error data.

7. The method of claim 1, wherein the site file for pat loss includes at each point path loss and error data for all sites with received signals.

8. The method of claim 1, further comprising converting the generated site file to a cluster map for path loss and time/angle error.

9. The method of claim 1, wherein the step of computing multi-site fox-ward and reverse link signal strengths comprises:

invoking stored terrain data;

selecting a stored propagation prediction model from a plurality of stored propagation prediction models;

computing a forward link propagation loss using the selected propagation prediction model; and

determining a likely wireless serving site with strongest signal for a given location.

10. The method of claim 1, further comprising:

using a mobile unit power control window and an estimate of received signal strength on the reverse link for setting a mobile unit'"'"'s transmit power;

generating the mobile unit Tx power map; and

using the generated mobile unit Tx power map for generating a multi-site RX power map.

11. The method of claim 1, wherein the step of computing multi-site forward and reverse link signal strengths comprises selecting a propagation prediction algorithm from a plurality of stored propagation prediction algorithms. wherein inputs to the selected propagation prediction algorithm includes one or more of terrain data, location and heights of mobile receiver;

location and heights of fixed receiver, land use, major road structures, and peculiar obstacles defined in the area.

12. The method of claim 1, farther comprising reading, maintaining, and displaying one or more of interstate roads, major roads, and secondary roads.

13. The method of claim 1, further comprising performing sensitivity analysis on the wireless location system by adjusting one or more parameter related to one or more of location equipment, wireless infrastructure, handsets and terrain.

14. The method of claim 1, further comprising the steps of generating an output in form of one or more of average errors, RMS errors, number and identity of location receivers, and coverage availability.

15. The method of claim 1, further comprising the step of storing in a database information specific to a location technology including one or more of type of technology;

antenna types;

receiver sensitivity data;

receiver noise data;

receiver bandwidth;

integration time;

known receiver biases;

receiver jitter;

transfer function;

presence of quality indicators at receiver or receiver type; and

quality indicators computation.

16. A system for performance analysis of a location system comprising:

means for storing data related to location equipment, wireless infrastructure, handsets and terrain;

means for generating a site file for predicting path loss and predicting time/angle error based on the stored terrain data;

means for computing multi-site forward and multi-site reverse link signal strengths for determining coverage, of the location system;

means for generating multi-sire margin data and multi-sire delay/angle error data from the computed multi-site forward and reverse link signal strengths and the stored data; and

means for generating location error estimates for the wireless location system from the predicted delay/angle error data.

17. The system of claim 16, wherein the means for generating a site file comprises:

means for computing a propagation prediction model to generate a path loss from a mobile unit to each of a plurality of receiving sites;

means for computing loss due to antenna pattern; and

means for computing time/angle errors from the mobile unit to each of the plurality of receiving sites.

18. The system of claim 17, wherein the site file is a radial site file and the path loss includes effects of diffraction and antenna height at each point along each radial in the radial site file.

19. The system of claim 17, wherein the margin data comprises a margin map and the multi-site delay/angle error data comprises a multi-site delay/angle error map, and wherein the generating location error estimates comprises generating a location error estimate map for the wireless location system from covariance at each point in the margin map and the multi-site delay/angle error data.

20. A method for analyzing performance of a wireless location system comprising:

storing data related to location equipment, wireless infrastructure, handsets and terrain;

generating a radial model and a radial map including a plurality of radial paths for a site from stored data;

selecting a propagation model from a stored plurality of propagation models for predicting a path loss along each radial path;

predicting accumulated angular errors and time delay errors at each point along a radial path in the radial map; and

generating an error estimate from the accumulated angular errors and the time delay errors due to terrain and morphology.