Invention Application
WO2007043752A1 MOBILE COMMUNICATION DEVICE POSITIONING SYSTEM AND METHOD FOR ENHANCING POSITION MEASUREMENT BY SELF LEARNING ALGORITHM
审中-公开
移动通信设备定位系统和通过自学习算法增强位置测量的方法
- Patent Title: MOBILE COMMUNICATION DEVICE POSITIONING SYSTEM AND METHOD FOR ENHANCING POSITION MEASUREMENT BY SELF LEARNING ALGORITHM
- Patent Title (中): 移动通信设备定位系统和通过自学习算法增强位置测量的方法
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Application No.: PCT/KR2006/003682Application Date: 2006-09-15
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Publication No.: WO2007043752A1Publication Date: 2007-04-19
- Inventor: KIM, Tae Il , HA, Tae Joon , SOHN, Hyuk Jin , PARK, Hyun Ok , LEE, Won Seok
- Applicant: RADIANT TECHNOLOGIES, INC. , KIM, Tae Il , HA, Tae Joon , SOHN, Hyuk Jin , PARK, Hyun Ok , LEE, Won Seok
- Applicant Address: 2F., Il-yang Bldg., 206, Nonhyun-dong, Kangnam-gu, Seoul 135-010 KR
- Assignee: RADIANT TECHNOLOGIES, INC.,KIM, Tae Il,HA, Tae Joon,SOHN, Hyuk Jin,PARK, Hyun Ok,LEE, Won Seok
- Current Assignee: RADIANT TECHNOLOGIES, INC.,KIM, Tae Il,HA, Tae Joon,SOHN, Hyuk Jin,PARK, Hyun Ok,LEE, Won Seok
- Current Assignee Address: 2F., Il-yang Bldg., 206, Nonhyun-dong, Kangnam-gu, Seoul 135-010 KR
- Agency: KOO, Kee Wan
- Priority: KR10-2005-0096385 20051013
- Main IPC: H04Q7/24
- IPC: H04Q7/24
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.
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