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Investigation on a NLOS error mitigation algorithm for TDOA mobile location

机译:TDOA移动定位的NLOS误差减轻算法研究

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In typical Urban environment, non-Line-Sight (NLOS) propagation between the base station (BS) and mobile station (MS) became the main factor of the positioning error. As a result, the study on the mitigation of its negative influence becomes a focus. Base on Chan algorithm, this paper presents a TDOA mobile location algorithm, which can improve the positioning accuracy effectively. The positioning process includes NLOS error identification and its mitigation. First, the Wylie algorithm is used to identify the existence of NLOS. And then, the time of arrival (TOA) is update based on the difference of TOA and the distance between BS and MS. This coordinate of the MS is estimated by using Chan algorithm in the process of this distance calculating. Simulation results show that this algorithm can mitigate the NLOS error and improve the location accuracy in different environment effectually.
机译:在典型的城市环境中,基站(BS)和移动站(MS)之间的非直线视线(NLOS)传播成为定位误差的主要因素。结果,减轻其负面影响的研究成为焦点。基于Chan算法,提出了一种TDOA移动定位算法,可以有效提高定位精度。定位过程包括NLOS错误识别及其缓解。首先,使用Wylie算法来识别NLOS的存在。然后,基于TOA的差和BS与MS之间的距离来更新到达时间(TOA)。在此距离计算过程中,使用Chan算法估计MS的坐标。仿真结果表明,该算法可以有效减轻NLOS误差,提高不同环境下的定位精度。

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