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Estimating directions-of-arrival of coherent signals in unknown correlated noise via spatial smoothing

机译:通过空间平滑估计未知相关噪声中相干信号的到达方向

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We show that any weighted spatial smoothing (WSS) of subarray covariance matrices with nonzero weights will lead to a decorrelation of signals, and we discuss the consequences of using negative weights. We next propose a WSS that will eliminate correlated noise and establish a relationship between the WSS and covariance differencing. Finally, we present numerical results to demonstrate the effectiveness of the proposed WSS.
机译:我们显示具有非零权重的子数组协方差矩阵的任何加权空间平滑(WSS)都会导致信号的去相关,并且我们讨论了使用负权重的后果。接下来,我们提出一种WSS,它将消除相关噪声并在WSS与协方差之间建立关系。最后,我们提供数值结果以证明所提出的WSS的有效性。

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