基于压缩感知的矿井无线传感器网络目标定位

Target localization of mine wireless sensor network based on compressed sensing

针对无线传感器网络定位技术在煤矿井下目标定位存在定位精度低、参考节点多、节点功耗大等问题,提出一种基于压缩感知算法的矿井无线传感器网络目标定位方法。该方法根据矿井目标定位需求和无线传感器网络特点设计了离线阶段和在线监测阶段的目标定位方案。离线阶段构建稀疏矩阵指纹库,在线监测阶段构建观测矩阵和测量值向量,并结合指纹库重构目标节点位置信号,实现矿井目标精确定位。通过仿真实验将压缩感知算法定位与两种传统算法定位进行比较,结果表明,本文算法定位精度较高,可控制在0.8 m以内,满足定位需求。

To solve the problems of low positioning accuracy,large deployment of reference nodes and large power consumption of nodes when wireless sensor network(WSN)positioning technology is applied in coal mine target positioning,this paper proposes a method of mine WSN target localization based on the compressed sensing(CS)algorithm.The method designs the target positioning in the offline phase and online monitoring phase based on the needs of mine target positioning and the characteristics of WSN.In the offline phase,the sparse matrix fingerprint database is constructed.In the online monitoring phase,the observation matrix and the measurement value vector are constructed,and combined with fingerprint database,the position signal of the target nodes is reconstructed to realize the accurate positioning of the mine targets.The simulation experiment compares the CS algorithm positioning with two traditional algorithm positioning.The results show that the positioning accuracy of the algorithm in this paper is higher,which can be controlled within 0.8m to meet the positioning requirement.