NLOS Mitigation Prior to Range Estimation Smoothing for Wireless Location Systems

J. Prieto, S. Mazuelas, A. Bahillo, R. Lorenzo, P. Fernández, E. Abril
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引用次数: 5

Abstract

Several sources of error disturb the range estimates utilized to infer the position of a mobile user (MU). This paper presents a method which includes two stages of error reduction for a round-trip time (RTT)-based indoor location system. First, systematic error due to non-line of sight (NLOS) propagation is mitigated by adapting the prior-NLOS- measurements-correction (PNMC) technique to the input of a particle filter (PF). Thereupon, the latter is used to filter out the random error in the range estimates which is not assumed to be Gaussian distributed, on the contrary to what is commonly used in the literature. Both techniques are described and their performance is assessed in a real indoor environment achieving a reduction of more than 50% in the total error.
无线定位系统距离估计平滑前的NLOS缓解
几种误差源干扰了用于推断移动用户位置的距离估计。提出了一种基于往返时间(RTT)的室内定位系统的两阶段误差减小方法。首先,通过将非视距-测量-校正(PNMC)技术应用于粒子滤波器(PF)的输入,减轻了非视距-测量-校正(NLOS)引起的系统误差。因此,后者被用来过滤掉距离估计中不假设为高斯分布的随机误差,这与文献中常用的相反。描述了这两种技术,并在真实的室内环境中评估了它们的性能,使总误差减少了50%以上。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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