基于减法聚类的TOA/AOA定位方法研究  

Location method based on subtractive clustering using TOA and AOA

作　　者：徐彤阳[1] 

机构地区：[1]山西财经大学信息管理学院,太原030006

出　　处：《电子测量技术》2013年第10期91-93,114,共4页Electronic Measurement Technology

基　　金：浙江省教育厅科研项目(Y201225848)

摘　　要：针对在无线传感网中现有定位技术定位精度不高的问题,提出一种基于减法聚类的定位方法以获取更好的定位性能和更高的定位精度。首先由多个已知传感器节点测量来自未知节点的电波到达时间和电波达到角,通过分组处理,然后对每组数据进行加权最小二乘估计,依据多次测量和估计,最后采用减法聚类处理来抑制误差导致的位置模糊性来实现对未知节点的精确定位。计算机性能仿真结果表明所提出的定位方法能有效地抑制测量误差,具有较小的定位误差,并进一步提高了定位精度。A localization method based on subtractive clustering in wireless sensor networks is proposed to achieve better location performance in this paper.Under the wireless propagation environments,the TOA （time of arrival） and AOA （angle of arrival） are measured by the sensor nodes,the weighted least squares estimation algorithm is used after packet processing.According to multiple measurements and estimations,the subtractive clustering is used to process the results to mitigate the location error,and finally get the precise position of the unknown node.Simulation results show that the proposed location method can restrain error effectively and improve the location accuracy.

关 键 词：无线传感网 定位 传感器节点 减法聚类 

分 类 号：TP393.1[自动化与计算机技术—计算机应用技术]