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基于GDOP加权的TOA/AOA混合定位算法 被引量:4

Hybrid TOA/AOA Positioning Algorithm Based on GDOP Weighting
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摘要 现有基于无线传感器网络(WSN)的到达时间/到达角度(TOA/AOA)定位算法在锚节点位置存在误差的条件下定位精度不高。针对该问题,融合几何精度因子(GDOP)加权,提出一种改进的TOA/AOA混合定位算法。根据单个锚节点对定位参量的测量误差及其自身位置误差,得出基于单节点的TOA/AOA混合定位算法的GDOP计算公式。依据WSN中所有锚节点的测量误差及其分布与盲节点的相对位置关系,推导加权融合算法的GDOP计算公式。仿真结果表明,与基于平均加权的定位算法相比,改进算法具有更高的定位精度。 Existing Time of Arrival/Angle of Arrival(TOA/AOA) positioning algorithms based on Wireless Sensor Network(WSN) have low accuracy under the condition that the position of Anchor Nodes (AN) has error. Fusing Geometric Dilution of Precision(GDOP) weighting,an improved hybrid TOA/AOA positioning algorithm is proposed in this paper. According to the measurement error of positioning parameters from the ANs and its position error, GDOP calculation formula is derived for TOA/AOA positioning algorithm which is based on single AN. According to the measurement error of all ANs and the relationship between BN and ANs in the WSN,the GDOP formula is derived based on weighting fusion algorithm. Simulation results show that positioning accuracy of the improved algorithm is higher than that of the positioning algorithm based on mean weighting.
出处 《计算机工程》 CAS CSCD 北大核心 2017年第3期105-109,114,共6页 Computer Engineering
基金 国家自然科学基金(61401513)
关键词 无线传感器网络 定位 到达时间 到达角度 几何精度因子 Wireless Sensor Network ( WSN ) positioning Time of Arrival ( TOA ) Angle of Arrival ( AOA ) Geometric Dilution of Precision (GDOP)
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