一种基于压缩感知的WSN节点多目标定位实现方法  

Implementation Method for Multiple Target Localization of WSN Nodes Based on Compression Perception

作　　者：张雪峰[1,2] Zhang Xuefeng(Guangzhou Panyu Polytechnic,Guangzhou,China;Nueva Ecija University of Science and Technology,Cabanatuan City,Philippines)

机构地区：[1]广州番禺职业技术学院,广东广州 [2]Nueva Ecija University of Science and Technology,Cabanatuan City Philippines

出　　处：《科学技术创新》2024年第1期101-105,共5页Scientific and Technological Innovation

基　　金：广州市科技计划项目“基于云脑机器人系统多任务智库创建及跨时空知识耦合研究”(编号:007094878037);广东省普通高校重点科研平台和科研项目“云脑机器人系统机制的关键技术研究及应用”(编号:2018GKZDXM005)。

摘　　要：在信息节点定位方面,无线传感器网络传输技术在应用领域尚不完善,存在不完备性。基于定位精度不准这种状况,对传感器网络监控进行了改善,获得一种新的基于压缩感知理论的WSN多目标定位方法。通过这种尽可能达到精确定位节点的方法,它不受硬件测距的限制,在计算和定位方面也有突出的优势。本文对网络模型和参数定义进行了阐释,分析了基于压缩感知的多目标定位方法,以及通过仿真实验进行验证。In terms of information node positioning,wireless sensor network transmission technology is not perfect in the application field,and there is incompleteness.Based on the inaccurate positioning accuracy,the sensor network monitoring is improved,and a new multi-target positioning method based on compressed sensing theory is obtained.Through this method of locating nodes as accurately as possible,it is not limited by hardware ranging,and has outstanding advantages in computing and positioning.The paper explains the network model and parameter definition,analyzes the multi-target localization method based on compressed sensing,and verifies it through simulation experiments.

关 键 词：压缩感知理论 无线传感网络 定位方法 不完备性 

分 类 号：TP212[自动化与计算机技术—检测技术与自动化装置]