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Multiple target tracking with particle filtering in UWB radar sensor networks

机译:超宽带雷达传感器网络中具有粒子滤波的多目标跟踪

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In this paper, a particle filtering algorithm is proposed for the challenging problem of multiple target tracking in ultra-wideband (UWB) radar sensor networks. The particle weights are derived analytically for the case of one transmitter and several receivers. The performance of the proposed particle algorithm is then evaluated through numerical results with comparison to the well-known Kalman filter. The scenarios account for the spatial configuration of the receivers, propagation effects, presence of clutter and noise.
机译:针对超宽带雷达传感器网络中多目标跟踪的挑战性问题,提出了一种粒子滤波算法。对于一个发送器和几个接收器的情况,通过分析得出粒子权重。然后,通过将数值结果与著名的卡尔曼滤波器进行比较,来评估所提出的粒子算法的性能。这些场景说明了接收机的空间配置,传播效应,杂波和噪声的存在。

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