With the rapid development of wireless networking technology and the great growth of the service demand, accurate location estimation of a mobile station (MS) in an indoor wireless system has gained considerable attention. Since most wireless communication systems used for indoor position location may suffer from dense NLOS propagation error, which leads to a severe degradation of position accuracy. In this thesis, we propose a hybrid TOA/RSSI wireless positioning technique for indoor UWB systems to gain favorable position accuracy, by using the fine resolution of UWB signals, geometrical feature of cell layout, the path loss model and the received signal strength, based on the time of arrival (TOA) range measurements.
The algorithm induces the objective function from the geometrical relationships of the base stations (BSs) and TOA range circles, and utilizes the received signal strength and pre-estimated path loss model, which should be well approximating the propagation conditions, to discriminate between LOS or NLOS range measurements and define the weight factors used to describe how credible TOA range measurements are and take effect on the objective function during the location calculating process. Simulation results show that the positioning accuracy of the hybrid TOA/RSSI method is much higher than that of other positioning methods under different distributed NLOS errors.
| Identifer | oai:union.ndltd.org:NSYSU/oai:NSYSU:etd-0719106-205840 |
| Date | 19 July 2006 |
| Creators | Chin, Hao-chun |
| Contributors | Shiunn-jang Chern, Chin-der Wann, Hsin-hsyong Yang, Kuan-chih Wang |
| Publisher | NSYSU |
| Source Sets | NSYSU Electronic Thesis and Dissertation Archive |
| Language | Cholon |
| Detected Language | English |
| Type | text |
| Format | application/pdf |
| Source | http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0719106-205840 |
| Rights | campus_withheld, Copyright information available at source archive |
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