基于距离权重的无线指纹定位方法  

Weight adjust algorithm in indoor fingerprint localization

作　　者：汪媛卿[1] 梁津垚[1] 宋欣[1] 

机构地区：[1]上海交通大学电子工程系,上海200240

出　　处：《信息技术》2013年第6期125-128,共4页Information Technology

摘　　要：无线信号RSSI是室内定位中被广泛应用的一种参考信息。但由于室内环境中无线多径的影响,接收机RSSI值会大范围波动,并造成室内定位信息的较大误差。实验数据分析表明,RSSI值的方差可随着RSSI均值进行改变。基于此观测结果,文中提出了基于距离权重的指纹算法,基于不同的RSSI方差赋予RSSI测量值不同的权重,可全面提高定位精度。仿真与实测表明,文中所提出的算法可明显改善定位精度,平均定位误差改善幅度在典型的室内环境中可达0.8米至2米。Wireless signal RSSI （Received Signal Strength Indication ）is widely hsed in indoor localization. However,due to severe multipath effect in indoor environment, RSSI measured by the user equipment varies in a large reange. Inaccurate RSSI measurement yields large localization error and decreases the performance of indoor localization and navigation. Through the extensive tests, this paper porves that the variance of RSSI in indoor environment does not keep the same all the time, while varies with the mean of RSSI. It analyzes the relationship between the mean value and variance of RSSI, and different RSSI measurements based on its localization testbed, and evaluation result average localization error. （WDF） algorithm, which assigns different weights to variance. We apply the proposed WDF algorithm in our indoor shows that WDF reach a 0.8m to 2m improvement on the

关 键 词：指纹定位 RSSI 指纹距离 基于距离权重的指纹算法 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]