A hybrid TOA/AOA positioning method based on GDOP-weighted fusion and its Accuracy Analysis

2016 IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC) Pub Date : 2016-10-01 DOI:10.1109/IMCEC.2016.7867107

Fanzeng Kong, Xiukun Ren, Nae Zheng, Guojun Chen, Jiaan Zheng

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引用次数: 5

Abstract

Whereas the existing TOA/AOA positioning algorithm based on wireless sensor network fails to consider position error of anchor node(AN) so as to affect the positioning accuracy, this paper proposes a hybrid TOA/AOA positioning algorithm based on GDOP-weighted fusion (G--TOA/AOA). The paper deduces Geometric Dilution of Precision (GDOP) of TOA/AOA positioning method based on single node (S-TOA/AOA). G-TOA/AOA algorithm utilizes GDOP of S-TOA/AOA to give corresponding weight to various rough estimates of blind node(BN), and weighted merge all rough estimates as position estimate of BN. Meanwhile, the paper deduces GDOP calculation formula of G-TOA/AOA algorithm. In the two different types of distribution situation of ANs, the paper analyzes the positioning accuracy of G-TOA/AOA algorithm. Simulation results show that positioning accuracy of G-TOA/AOA algorithm is superior to average weighted positioning algorithm and the positioning performance of G-TOA/AOA algorithm is better when ANs are in non-collinear distribution situation.

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基于gdp加权融合的TOA/AOA混合定位方法及其精度分析

针对现有基于无线传感器网络的TOA/AOA定位算法没有考虑锚节点(AN)的位置误差而影响定位精度的问题，本文提出了一种基于gdopa加权融合的混合TOA/AOA定位算法(G—TOA/AOA)。推导了基于单节点的TOA/AOA定位方法(S-TOA/AOA)的几何精度稀释系数(GDOP)。G-TOA/AOA算法利用S-TOA/AOA的GDOP对盲节点(BN)的各种粗略估计赋予相应的权重，并对所有粗略估计进行加权合并作为BN的位置估计。同时，推导出了G-TOA/AOA算法的GDOP计算公式。在两种不同类型的ANs分布情况下，分析了G-TOA/AOA算法的定位精度。仿真结果表明，在ANs非共线分布情况下，G-TOA/AOA算法的定位精度优于平均加权定位算法，且定位性能更好。

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2016 IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC)

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