基于分布重叠和特征加权的无线局域网室内定位算法  

Indoor Positioning Algorithm for WLAN Based on Distribution Overlap and Feature Weighting

作　　者：谢代军[1] 胡捍英[1] 孔范增[1] 

机构地区：[1]解放军信息工程大学,郑州450002

出　　处：《计算机科学》2013年第11期38-42,共5页Computer Science

摘　　要：受复杂室内环境下无线信号时变特性和随机特性的影响,传统的以接收信号强度均值为指纹信息的定位算法定位精度较低。针对该问题,提出了一种基于分布重叠和特征加权的位置指纹匹配定位算法。该方法采用接入点(Access Point,AP)信号包络的概率分布作为位置指纹特征,首先根据终端与AP的连通性为指纹特征设定权值,用信号包络概率分布重叠来表征指纹特征的相似度,然后取各特征相似度的加权和为指纹的相似度,最后根据最大指纹相似度原则估计目标位置。实验结果表明,所提算法的定位精度明显高于传统定位算法,具有较高的实用性。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 re solve the problem. The probability distribution of access point signal＇s envelope was used as location fingerprint fea- ture. 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.

关 键 词：无线局域网 室内定位 位置指纹 特征加权 分布重叠 

分 类 号：TN92[电子电信—通信与信息系统]