蜂巢式無線網路混合式行動定位方法之研究

Abstract

本論文提出一蜂巢式無線網路混合式行動定位方法，該方法結合時間與功率衰減的資訊進行手機定位。為了避開繁雜的無線定位計算及考慮系統本身的誤差以及傳播環境的干擾下，將接收的資訊對應成平面幾何圖形，再利用這些幾何圖形的交集區對移動台作定位預估。本論文針對現行的GSM系統設計出一套行動定位演算法，在利用TA（Time Advance）的資訊與手機接收到其他六個基地台的功率衰減值即RSSI（Received Signal Strength Indication）進行手機定位。希望在不改變GSM系統架構下，使67％定位誤差值在200公尺內。最後再以GSM系統中的實際量測作驗證該定位方法，藉以證明本定位實驗的實用性。

In this thesis, we present a hybrid algorithm to estimate mobile location for cellular system. This methodology combines the information of time of arrival (TOA) and power loss to locate mobile position. We map received information onto geometry domain to reduce complex calculation, system error and interference of propagation environment. And then utilizing the intersection of geometry diagrams estimates mobile position. On the basis of GSM system, this thesis proposes mobile location algorithm utilizing time advance (TA) information and received signal strength indication (RSSI) of six base stations. Base on traditional GSM system, we estimate mobile location and 67% position error is below 200 meters. Finally, we verify our algorithm using practical measurements.