摘要
多边定位算法是无线传感器网络节点定位中常用的定位算法。针对相关文献提出的多边定位算法中盲节点坐标估计值和节点编号有关的问题,提出了一种基于最小误差平方和的多边定位算法。不同的参考节点作为消元对象产生的误差平方和不同,通过选取误差平方和最小值来确定位置最优估计值。结合CC2430芯片,设计了定位实验,并在上位机进行了数据分析。实验结果表明:该定位算法可以有效地降低定位误差,最大定位精度提高达到3.6m。
Multilateral localization algorithm is a commom algorithm for wireless sensor networks（ WSNs） node localization.Aiming at problems shown in relevant literatures related to estimation value of blind node coordinate and number of nodes in multilateration algorithm,present a multilateral localization algorithm based on minimum error sum of squares.Error sum of squares generated by different reference node as elimination object is different,and by selecting the minimum value of error sum of squares to determine the optimal estimated value of position.The localization experiment is designed with the chip of CC2430,and analyze datas by upper PC.The experimental results show that this algorithm can effectively reduce localization error,the biggest localization precision is increased up to 3.6 m.
出处
《传感器与微系统》
CSCD
北大核心
2014年第7期126-128,132,共4页
Transducer and Microsystem Technologies
关键词
多边定位算法
误差平方和
估计值
multilateral localization algorithm
error sum of squares
estimated value
