無線系統中一目標裝置定位的信心度指標給定方法

Method for Determining the Confidence Index of the Estimated Position for a Target Device in a Wireless System

陳昭男(Chao-Nan Chen) ； 蔣是文(Shih-Wen Chiang)

《電腦與通訊》 119期 (2007/03) Pp. 70-75

https://doi.org/10.29917/CCLTJ.200703.0011

摘要

本文介紹一種無線系統中一目標裝置定位的信心度指標給定方法。在追蹤定位時，當獲知目標裝置之無線訊號的觀察值後，結合目標裝置之位置機率密度函數與目標裝置之移動模型來算出位置不確定度，以得到此位置估計的信心度指標。先決定出位置機率密度函數，然後算出此位置機率密度函數的不確定度與在目前情況下可能的最大不確定度，最後算出此無線訊號的信心度指標。信心度可以視為在此位置預測裡，能排除有關目標裝置位置出現不確定性的量。能排除此量愈多，即此位置估測的信心度就愈高。

關鍵字

無線定位系統 ； 信心度指標 ； 預估位置 ； 隱藏式馬可夫模型 ； 訊號機率分布 ； 不確定度 ； 熵

並列摘要

This article proposes is a method for determining the confidence index of the estimated position for a target device in a wireless system. In the online location tracking phase, after knowing the observations of the radio signal for a target device, the target device's probability distribution of location and its motion model are combined to calculate the position uncertainty, thereby giving the confidence index of this estimated location. First, we determine the location probability distribution, and then calculate the uncertainty of the location probability distribution and the possible maximum uncertainty under the current situation. Based on these uncertainties, we can determine the confidence index of the radio signal. The confidence may be regarded as a quantity that reduces the location uncertainty in the location prediction. The larger the quantity is, the more confident the estimated location is.

並列關鍵字

Wireless Positioning System ； WPS ； Confidence Index ； Estimated Position ； Hidden Markov Model ； HMM ； Signal Value Probability Distribution ； Uncertainty ； Entropy