基于压缩感知的无线传感器网络多目标定位算法  

Multiple Target Localization via Compressed Sensing in Wireless Sensor Networks

作　　者：何风行[1] 余志军[1,2] 刘海涛[1,2] 

机构地区：[1]中国科学院上海微系统与信息技术研究所,上海200050 [2]无锡物联网产业研究院,无锡214135

出　　处：《电子与信息学报》2012年第3期716-721,共6页Journal of Electronics & Information Technology

基　　金：国家973计划项目(2011CB302901);国家科技重大专项(2010ZX03006-004)资助课题

摘　　要：目标定位是无线传感器网络的重要应用场景。该文提出了一种将压缩感知应用于无线传感器网络多目标定位的方法,把基于网格的多目标定位问题转化为压缩感知问题。应用多分辨率分析的思想,设计了迭代回溯的压缩感知算法,该方法的特点是可同时进行多目标定位,并且大大减少了网络通信的数据量从而延长网络寿命,代价是融合中心的算法复杂度的增加。仿真结果显示,采用迭代回溯算法定位精度提高了50%以上,具有较好的多目标定位效果。Target localization is one of the most challenging and important issues in Wireless Sensor Networks（WSNs）.A multiple target localization method is proposed in WSNs.The multiple target localization issue is transformed into compressed sensing issue by designing iteration backtracking algorithm using multi-resolution analysis idea.The achievement of this algorithm is to save the energy of WSN nodes,by minimizing inter-node communication,in the result of which the lifetime of the WSN is prolonged,at the cost of increasing the computation complexity in the fusion center instead.Emulation results demonstrated that the localization performance is improved by more than 50% by the proposed algorithm.

关 键 词：多目标定位 无线传感器网络 压缩感知 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]