关键词: 无线局域网,室内定位,位置指纹,特征加权,分布重叠

Abstract: Affected by the time-varying and random characteristics of indoor wireless signal,the traditional positioning method using the received signal strength(RSS)mean as the fingerprint information has poor localization accuracy． This paper proposed a fingerprint matching positioning algorithm based on distribution overlap and feature weighting to resolve the problem．The probability distribution of access point signal’s envelope was used as location fingerprint feature．Firstly,fingerprint feature’s weight was set by utilizing the connectivity of the terminal and AP,and the similarity of fingerprints feature was indicated by the overlap of the signal envelope’s distribution．Secondly,the sum of the weighted features similarity was taken as the fingerprint similarity．Finally,the target’s position was estimated accor-ding the principle of maximum fingerprint similarity．The experimental results show that the proposed algorithm obtains significant accuracy improvement and higher practical value.

Key words: Wireless local area networks(WLAN),Indoor positioning,Location fingerprint,Feature weighting,Distribution overlap