LOS环境下基于TOA和基于TDOA的位置估计算法的性能比较

Guowei Shen, R. Zetik, R. Thomä
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引用次数: 195

摘要

本文分析了基于距离的TOA和TDOA定位的各种定位算法,包括解析法、最小二乘法、近似极大似然法、泰勒级数法、两阶段极大似然法和遗传算法。假设的场景是在视线(LOS)情况下的3D空间中一个过度确定的系统,并且许多传感器节点随意放置在该区域。在假设的场景下,比较了算法的性能。从参考节点数和距离估计的均方根误差(RMSE)两个方面研究了平均误差和失败率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Performance comparison of TOA and TDOA based location estimation algorithms in LOS environment
In this paper, various positioning algorithms for range-based TOA and TDOA localization have been analyzed, which include the analytical method, least square method, approximate maximum likelihood method, Taylor series method, two-stage maximum likelihood method and genetic algorithm. The assumed scenario is an overdetermined system in a 3D space under line of sight (LOS) situation and a number of sensor nodes placed arbitrarily across this area. The performance of the algorithms has been compared in the assumed scenario. Both the average error and the failure rate have been investigated in terms of the number of reference nodes and the root mean squared error (RMSE) of the range estimation.
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