使用模糊自適應多模型估測作TOA無線定位

Using Fuzzy Adaptive Multi-Model Estimation for TOA Wireless Location

陳致豪(Zhi-Hao Chen)

指導教授 ： 何天讚

中原大學/工學院/電機工程研究所/碩士(2012年)

https://doi.org/10.6840/cycu201200245

摘要

本論文提出了一個透過Takagi-Sugeno (T-S)模糊技術結合交互多模型算法的移動定位估測。有別於其他的研究，本論文考慮移動台在城市環境下是會有速度的變化。到達時間的量測方法是被使用去量測蜂巢式網路裡移動台和基地台之間的傳播訊號。之後利用T-S模糊技術自適應調整交互多模型算法的過程干擾協方差。這樣的一個方法可以有效地減緩移動台速度變化和非視線傳播誤差所造成的影響。模擬結果證明，我們提出的方法在複雜城市環境下比其他方法更可以精確的定位移動台。

關鍵字

到達時間 ； 非視線傳播 ； Takagi-Sugeno模糊 ； 交互多模型算法 ； 移動定位

並列摘要

This thesis presents a mobile location estimation method via combining the T-S fuzzy technique and the interacting-multiple-model algorithm. Different from other studies, this thesis takes into account the speed changing of the mobile station (MS) in the city environment. The time of arrival method is employed to measure the transmission signals between base stations and the mobile station inside the cellular network. Then, the T-S fuzzy technique adaptively adjusts process noise covariance in the interacting-multiple-model algorithm such that the influence of the varying speed of the MS and the non-line-of-sight is greatly reduced. Simulations show that the proposed method can accurately locate the MS in a rough city environment than other methods.

並列關鍵字

interacting multiple-model algorithm ； Takagi-Sugeno fuzzy ； non-line-of-sight (NLOS) ； mobile location ； time of arrival

參考文獻

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