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NLOS Detection and Mitigation in Differential Localization Topologies Based on UWB Devices

机译:基于UWB设备的差分定位拓扑中的NLOS检测和缓解

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Ultra-wideband systems (UWB) are a common technology which is used for indoor localization applications due to its accuracy. However there are some challenges to implement these systems in indoor area with obstacles and barriers. One of the challenges is non-line of sight conditions (NLOS) between two communicating nodes which results in large localization error. Many techniques have been proposed in the literature for NLOS detection and mitigation but most of them are deployed in time of arrival (ToA) cases. This paper extends the NLOS detection and mitigation techniques to time difference of arrival cases (TDoA). The proposed method is a parametric technique based on the probability distribution function (PDF) of features collected from received signal characteristics. An innovative method is used to apply the parametric detection method on TDoA cases both in detection and mitigation stages. The mitigation technique is based on a modified and biased extended Kalman filter (BEKF) which is used in TDoA localization method. The results prove that this technique successfully detects the NLOS cases, mitigates the error up to a factor of 10 and leads to stability of the EKF method.
机译:超宽带系统(UWB)是一种通用技术,由于其准确性而被用于室内定位应用。然而,在具有障碍物和障碍物的室内区域实施这些系统存在一些挑战。挑战之一是两个通信节点之间的非视线状况(NLOS),这会导致较大的定位误差。文献中已经提出了许多用于NLOS检测和缓解的技术,但是大多数技术是在到达时间(ToA)的情况下部署的。本文将NLOS检测和缓解技术扩展到到达时间差(TDoA)。所提出的方法是一种基于从接收信号特征中收集的特征的概率分布函数(PDF)的参数化技术。在检测和缓解阶段,都使用一种创新方法将参数检测方法应用于TDoA案例。缓解技术基于在TDoA定位方法中使用的改进的偏置扩展卡尔曼滤波器(BEKF)。结果证明,该技术成功地检测了NLOS情况,将误差减少了多达10倍,并导致EKF方法的稳定性。

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