MOBILE COMMUNICATION DEVICE POSITIONING SYSTEM AND METHOD FOR ENHANCING POSITION MEASUREMENT BY SELF LEARNING ALGORITHM

• US 20090262015A1
• Filed: 09/15/2006
• Published: 10/22/2009
• Est. Priority Date: 10/13/2005
• Status: Abandoned Application

• Current Assignee: Radiant Technologies, Inc. (Salesforce.com, Inc.)
• Original Assignee: Radiant Technologies, Inc. (Salesforce.com, Inc.)
• Inventors: Sohn, Hyuk Jin, Park, Hyun Ok, Ha, Tae Joon, Kim, Tae Il, Lee, Won Seok
• Application Number:
  US12/089,661
• Publication Number:
  US 20090262015A1
• Time in Patent Office: Days
• US Class Current: 342/357.310
• CPC Class Codes: G01S 5/0252 Radio frequency fingerprinting
• CPC Class Codes: H04W 64/00 Locating users or terminals or network equipment for network management purposes, e.g. mobility management

Abstract

A method and system for determining a location of a mobile communication device for an improvement of a positioning through a self-learning processing algorithm. In the method and system for determining a location of a mobile communication device, a self-learning processing unit batch processes GPS-based positioning results accumulated in a first self-learning database, and generates a sector direction value. Also, the self-learning processing unit generates optimized environment parameters, which is necessary for wireless network-based positioning, and basic data for a pattern matching, and updates the optimized environment parameters and basic data in a second self-learning database. Accordingly, the system for determining a location of a mobile communication device performs a positioning through a pattern matching method by using results accumulated in the second self-learning database.

Claims

1. A system for determining a location of a mobile communication device using a satellite signal, the system comprising:

a first self-learning database storing a GPS-based positioning result, wireless network information for a base station identification, and a wireless network-based positioning result;

a self-learning processing unit performing self-learning and generating a self-learning processing result associated with the network-based positioning by using the GPS-based positioning result, the wireless network information for the base station identification, and the wireless network-based positioning result;

a second self-learning database accumulating the self-learning processing result corresponding to base station information; and

a wireless network-based positioning unit generating the wireless network-based positioning result via the network-based positioning using the self-learning processing result, and updating the generated wireless network-based positioning result in the first self-learning database, wherein the self-learning processing unit performs the self-learning by reapplying the wireless network-based positioning according to a predetermined standard and updating the self-learning processing result.

2. The system of claim 1, further comprising:

a GPS-based positioning unit performing the GPS-based positioning by using the wireless network information, and generating the GPS-based positioning result.

3. The system of claim 2, wherein the wireless network-based positioning unit stores the GPS-based positioning result, the wireless network information, and the wireless network-based positioning result in the first self-learning database in real time, when the GPS-based positioning unit performs a positioning.

4. The system of claim 2, wherein the wireless network-based positioning unit stores the wireless network-based positioning result, the GPS-based positioning result, and the wireless network information, in the first self-learning database, and the GPS-based positioning result, and the wireless network information being stored as a log file by the GPS-based positioning unit.

5. The system of claim 1, wherein the self-learning processing result comprises an average distribution direction or an average distribution angle from a base station which has at least one GPS-based positioning result with respect to a currently received base station identification signal.

6. The system of claim 1, wherein the self-learning processing result comprises pattern matching data, which corresponds to base station signal information, to determine the current location by comparing with a measured base station signal, and the wireless network-based positioning unit generates corresponding location information, which matches the base station identification signal currently received in the pattern matching data, as a corresponding wireless network-based positioning result.

7. The system of claim 1, wherein the self-learning processing unit locates the first self-learning database according to any one of a base station identifier and a sector identifier from the base station information corresponding to a currently received base station identification signal, extracts at least one GPS-based positioning result, and determines a sector direction value from the extracted at least one GPS-based positioning result, the sector direction value indicating an average distribution direction from a base station corresponding to at least one GPS-based positioning result which is determined based on a strength of a received signal of the wireless network information and a positioning accuracy.

8. The system of claim 7, wherein the self-learning processing unit extracts at least one wireless network-based positioning result having a difference between the GPS-based positioning result and the wireless network-based positioning result greater than a predetermined value, from the first self-learning database, reapplies the network-based positioning with respect to the extracted at least one wireless network-based positioning result by using parameter sets including the sector direction value, bases the wireless network-based positioning result and a corresponding

parameter set corresponding on the at least one wireless network-based positioning result having the least value, in the self-learning processing result among calculated wireless network-based positioning results, and thereby updates the wireless network-based positioning result and the corresponding parameter set in the second self-learning database.

9. The system of claim 8, wherein the self-learning processing unit displays a diagnose flag with respect to a region corresponding to the wireless network-based positioning result, when the difference between the GPS-based positioning result and all wireless network-based positioning results after reapplying the wireless network-based positioning result with respect to the parameter sets is greater than the predetermined value.

10. A method of determining a location of a mobile communication device using a satellite signal, the method comprising:

storing a GPS-based positioning result, wireless network information for a base station identification, and a wireless network-based positioning result;

performing self-learning and generating a self-learning processing result associated with the network-based positioning by using the GPS-based positioning result, the wireless network information for the base station identification, and the wireless network-based positioning result;

accumulating the self-learning processing result corresponding to base station information; and

generating the wireless network-based positioning result via the wireless network-based positioning using the self-learning processing result, and updating the generated wireless network-based positioning result in the first self-learning database, wherein the self-learning reapplies the wireless network-based positioning according to a predetermined standard and updates the self-learning processing result.

11. The method of claim 10, wherein the self-learning processing result comprises an average distribution direction or an average distribution angle from a base station which has at least one GPS-based positioning result with respect to a currently

received base station identification signal.

12. The method of claim 10, wherein the generating of the self-learning processing result comprises:

locating the first self-learning database according to any one of a base station identifier and a sector identifier from the base station information corresponding to a currently received base station identification signal, and extracting at least one GPS-based positioning result;

determining a sector direction value from the extracted at least one GPS-based positioning result, the sector direction value indicating an average distribution direction from a base station corresponding to at least one GPS-based positioning result which is determined based on a strength of a received signal of the wireless network information and a positioning accuracy.

13. The method of claim 12, wherein the generating of the self-learning processing result further comprises:

extracting at least one wireless network-based positioning result having a difference between the GPS-based positioning result and the wireless network-based positioning result greater than a predetermined value, from the first self-learning database;

reapplying the network-based positioning with respect to the extracted at least one wireless network-based positioning result by using parameter sets including the sector direction value;

basing the wireless network-based positioning result and a corresponding parameter set corresponding on the at least one wireless network-based positioning result having the least value, in the self-learning processing result among calculated wireless network-based positioning results, and thereby updating the wireless network-based positioning result and the corresponding parameter set in the second self-learning database.

14. A computer-readable recording medium storing a program for implementing the method according to claim 10.