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Bearing Estimation with Randomized Linear Arrays

机译:随机线性阵列的方位估计

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The source location estimation of multiple signals with a randomized array is implemented in this paper. The incoming signal is sampled non-uniformly in the spatial domain using randomly scattered antenna elements on a linear axis. Mercer’s kernel interpolation is performed to map the outputs of the actual array elements in randomized positions to the elements of a virtual uniform array. The sampled signal is passed through the proposed filter and an uniformly sampled equivalent of the received signal is obtained. The interpolated signal is further processed through root-MuSiC to obtain the angles of arrivals of the signals. The mean squared error (MSE) of the proposed estimator is compared to the MSE of the least squares interpolation technique, simulation results are detailed and discussed.
机译:本文实现了带有随机阵列的多个信号的源位置估计。使用线性轴上的随机分散的天线元素在空间域中对输入信号进行非均匀采样。 Mercer的内核插值是将随机位置的实际数组元素的输出映射到虚拟统一数组的元素。采样的信号通过所提出的滤波器,并获得接收信号的均匀采样的等效信号。内插的信号通过根MuSiC进一步处理以获得信号的到达角。将所提出的估计器的均方误差(MSE)与最小二乘插值技术的MSE进行了比较,详细讨论了仿真结果。

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