高技术通讯2012，Vol.22Issue(10)：1083-1089,7.DOI:10.3772/j.issn.1002-0470.2012.10.013
智能空间中的环境自适应RSSI定位
Environmental-adaptive RSSI-based localization in intelligent space
摘要
Abstract
To overcome the influence of dynamic environmental parameters on the accuracy of the object localization in intelligent space using the received signal strength indication (RSSI) method, an environmental-adaptive RSSI-based localization algorithm is proposed, and the reason why changes of environmental parameters are the main factors influencing the distance measurements and localization error is expounded.When using the proposed algorithm, firstly the measured data are preprocessed through singular value removing and average filtering, and then the adaptive RSSI distance estimating algorithm is utilized to estimate the distance between nodes.The location of unknown node is calculated using the maximum likelihood estimation.Finally, the Kalman filter is exploited to estimate the trajectory of moving targets.The experimental results show that the localization error of the proposed algorithm is less than one meter, meeting the requirements of moving-targets localization in intelligent space.关键词
智能空间/无线传感器网络/接收信号强度指示(RSSI)/定位Key words
intelligent space, wireless sensor networks, received signal strength indication (RSSI), localization引用本文复制引用
宋保业,田国会,周风余..智能空间中的环境自适应RSSI定位[J].高技术通讯,2012,22(10):1083-1089,7.基金项目
863计划(2009AA04Z220)和国家自然科学基金(61075092)资助项目. （2009AA04Z220）
