南京邮电大学学报（自然科学版）2013，Vol.33Issue(1)：84-90,7.
无迹卡尔曼滤波在无线传感器网络节点定位中的应用
Application of Unscented Kalman Filter Algorithm to Node Localization in Wireless Sensor Networks
摘要
Abstract
Because of the large errors associated with the process of distance measurement, the traditional range-based node localization technique is with low precision in wireless sensor networks ( WSN). using the received signal strength (RSSI) to measure the distance and three-edge measurement to provide the initial localization, the paper proposes to apply Unscented Kalman Filter (UKF) algorithm to the precise node locating with RSSI as the observed quantity. The emulation has shown that the node localization accuracy is improved compared to the UKF localization method with distance as observed quantity. A quantitative comparative analysis is made of the error probability distribution between these two localization algorithms. By a tradeoff between the average localization error and computational complexity, the optimal number of the anchor nodes for localization is determined. Finally the simulation under concrete environment has verified the practicality of the proposed localization algorithm.关键词
无线传感器网络/RSSI/UKF/节点定位Key words
wireless sensor network/ RSSI/ UKF/ node localization分类
信息技术与安全科学引用本文复制引用
杜娟娟..无迹卡尔曼滤波在无线传感器网络节点定位中的应用[J].南京邮电大学学报（自然科学版）,2013,33(1):84-90,7.基金项目
国家重点基础研究发展计划(973计划)(2011CB302903)资助项目 （973计划）
