Combined AOA and TOA NLOS Localization With Nonlinear Programming in Severe Multipath Environments

V. Y. Zhang, A. Wong
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引用次数: 37

Abstract

In this paper, a novel nonlinear programming (NLP) approach for non-line-of-sight (NLOS) localization in severe multipath environments is proposed. It leverages on the bidirectional estimation of the Angle of Arrival (AOA) and the Time of Arrival (TOA) of signals between the mobile station (MS) and the reference stations (RSs), and has the ability to work with just two paths. Basic Approach (BA) and Extended Approach (EA) are addressed, and the latter employs a simple method to identify one-bound path with high probability. Simulation results illustrate that the proposed algorithm can improve the localization accuracy greatly, especially when only few one-bound scattering paths exist.
复杂多径环境下的非线性规划组合AOA和TOA NLOS定位
本文提出了一种新的非线性规划(NLP)方法,用于多路径环境下的非视距定位。它利用移动站(MS)和参考站(RSs)之间信号的双向估计到达角(AOA)和到达时间(TOA),并且能够仅使用两条路径工作。讨论了基本方法(BA)和扩展方法(EA),扩展方法采用一种简单的方法以高概率识别单界路径。仿真结果表明,该算法能显著提高定位精度,特别是在单界散射路径较少的情况下。
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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