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Cooperative sensor localization with NLOS mitigation using semidefinite programming

机译:使用SEMIDEFINITE规划的NLOS缓解合作传感器定位

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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:研究了非线性沿线(NLOS)环境中的基于合作的基于时间的传感器定位。合作传感器本地化在GPS受限的室内网络中起着重要作用。然而,室内网络遭受NLOS传播,从而显着降低了本地化精度。在本文中,我们假设估算器能够区分从视域(LOS)连接的NLO连接。我们介绍了一种新型的SEMIDEFINITE编程(SDP)方法,用于合作本地化,利用NLOS连接来提高本地化的准确性。将所提出的算法的性能与最大似然估计器和先前考虑的算法进行比较。计算机模拟显示了所提出的SDP方法的优异性能。

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