基于RSSI的四边测距改进加权质心定位算法  

The Quadrilateral and Improved Weighted Centroid Localization Algorithm Based on RSSI

作　　者：朱忠记 何熊熊[1] 章晓[1] 赵松[1] 夏燕玲[1] 

机构地区：[1]浙江工业大学信息工程学院,浙江杭州310023

出　　处：《杭州电子科技大学学报（自然科学版）》2014年第1期17-20,共4页Journal of Hangzhou Dianzi University：Natural Sciences

基　　金：国家自然科学基金资助项目(61074054);浙江省科技厅重大专项资助项目(2011C13011)

摘　　要：该文根据接收信号强度指示的测距特性,改进四边测距,并提出一种改进的加权质心定位算法。首先引入统计中值加权的方法,有效地降低了采集RSSI信号时的测量误差。然后运用Euclidean节点定位算法,改进四边测距算法。为进一步提高精度,对WSN定位技术中关于未知节点近似位置的算法做了修正,并对加权质心定位算法中的加权因子进行了优化,使未知节点的定位精度更加精确。相比之前的许多加权质心定位算法,仿真结果表明,改进的质心定位算法在定位精度方面有很大的提高,鲁棒性也较高。Based on the performance of received signal strength indicator （ RSSI ） , this paper proposes a improved four sides ranging and weighted centroid localization algorithm .First, introduce statistical middle value weighting method to effectively reduce the measurement errors in the acquisition of the RSSI signal . Then , use the Euclidean node positioning algorithm to improve four sides ranging algorithm .In order to further improve the accuracy , we amended localization the algorithm about the approximate position of the unknown node of the WSN , and optimized the weighting factors in the weighted centroid localization algorithm , so that it enables more precise positioning accuracy of the unknown node .Compared to the previous weighted centroid localization algorithm , this paper＆#39;s simulation results show that the improved weighted centroid localization algorithm greatly improved the positioning accuracy , higher robustness .

关 键 词：接收的信号强度指示 四边测距 加权质心算法 

分 类 号：TN92[电子电信—通信与信息系统]