Cooperative sensor localization with NLOS mitigation using semidefinite programming

R. Vaghefi, R. Buehrer
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引用次数: 38

Abstract

Cooperative time-of-arrival-based sensor localization in a non-line-of-sight (NLOS) environment is investigated. Cooperative sensor localization plays an important role in indoor networks where GPS is limited. However, indoor networks suffer from NLOS propagation which degrades localization accuracy significantly. In this paper, we assume that the estimator is able to discriminate NLOS connections from line-of-sight (LOS) connections. We introduce a novel semidefinite programming (SDP) approach for cooperative localization which exploits NLOS connections to enhance the accuracy of localization. The performance of the proposed algorithm is compared with that of the maximum likelihood estimator and previously considered algorithms. Computer simulations show the excellent performance of the proposed SDP approach.
基于半定规划的NLOS缓解协同传感器定位
研究了非视距(NLOS)环境下基于到达时间的传感器协同定位。传感器协同定位在GPS受限的室内网络中发挥着重要作用。然而,室内网络受到非线性los传播的影响,严重降低了定位精度。在本文中,我们假设估计器能够区分NLOS连接和视距(LOS)连接。提出了一种新的半定规划(SDP)协同定位方法,利用NLOS连接来提高定位精度。将该算法的性能与极大似然估计算法和先前考虑的算法进行了比较。计算机仿真结果表明了该方法的良好性能。
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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