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Cooperative sensor localization with NLOS mitigation using semidefinite programming

机译:使用半确定编程的NLOS缓解协作式传感器定位

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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.
机译:研究了在非视距(NLOS)环境中基于协作到达时间的传感器定位。协作传感器定位在GPS受限的室内网络中起着重要作用。但是,室内网络遭受NLOS传播的困扰,这大大降低了定位精度。在本文中,我们假设估计器能够将NLOS连接与视线(LOS)连接区分开。我们介绍了一种新颖的用于合作定位的半定规划(SDP)方法,该方法利用NLOS连接来提高定位精度。将所提出算法的性能与最大似然估计器和先前考虑的算法的性能进行比较。计算机仿真显示了所提出的SDP方法的出色性能。

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