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Weighted spatial smoothing for direction-of-arrival estimation of coherent signals

机译:加权空间平滑用于相干信号的到达方向估计

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In this paper a novel and uniform frame of spatial smoothing (SS) technique for DOA estimation of coherent signals is proposed, which we call "weighted spatial smoothing (WSS)". The WSS technique takes full advantage of the auto-correlation and cross-correlation information of subarrays output and makes a weighted sum of all sub-matrices of the array covariance matrix to form an equivalent subarray covariance matrix. The optimization of weight matrix is under the constraint that the equivalent source covariance matrix is diagonal. Simulation results demonstrate that the WSS technique possesses a better resolving ability and a lower SNR resolution threshold than SS for DOA estimation of closely-spaced coherent signals, especially in the case that the size of the subarray is small.
机译:本文提出了一种用于相干信号的DOA估计的新颖,统一的空间平滑(SS)技术框架,我们称之为“加权空间平滑(WSS)”。 WSS技术充分利用了子数组输出的自相关和互相关信息,并对数组协方差矩阵的所有子矩阵进行加权求和,以形成等效的子数组协方差矩阵。权重矩阵的优化受等效源协方差矩阵对角线的约束。仿真结果表明,对于近距离相干信号的DOA估计,WSS技术具有比SS更好的分辨能力和更低的SNR分辨率阈值,尤其是在子阵列尺寸较小的情况下。

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