首页> 外文会议>第八届国际测试技术研讨会(8th International Symposium on Test and Measurement)论文集 >The Research of Centroid Weighted Average Location Algorithm for Wireless Sensor Network Nodes
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The Research of Centroid Weighted Average Location Algorithm for Wireless Sensor Network Nodes

机译:无线传感器网络节点质心加权平均定位算法研究

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This article mainly proposed centroid weighted average location algorithm because the result of current wireless sensor network node positioning algorithm is not centralized. According to the cross-correlation algorithm, after obtain many group time difference of TDOA, we can convert them into the distance between two anchor nodes, establishing about the testing node position hyperbolic equations. Using 'the Chan algorithm' and 'the least squares method' to solute hyperbolic curve equation; and using the results of these two types positioning as initial value of centroid weighted average location algorithm to secondary locate, can improve the positioning Convergence, so that positioning more centralized.
机译:本文主要提出了质心加权平均定位算法,因为当前无线传感器网络节点定位算法的结果还不集中。根据互相关算法,在获得许多TDOA的组时差后,可以将其转换为两个锚节点之间的距离,建立测试节点位置双曲方程。使用“ Chan算法”和“最小二乘法”求解双曲曲线方程;并将这两种定位结果作为质心加权平均定位算法的初值进行二次定位,可以提高定位的收敛性,使定位更加集中。

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