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On spatial smoothing for two-dimensional direction-of-arrival estimation of coherent signals

机译:关于相干信号的二维到达方向估计的空间平滑

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摘要

We present an analysis of a spatial smoothing scheme extended for the estimation of two-dimensional (2-D) directions of arrival (DOAs) of coherent signals using a uniform rectangular array. The uniform rectangular array is divided into overlapping rectangular subarrays by the extended scheme, which is referred to as the 2-D spatial smoothing scheme. The analysis shows that when the extended preprocessing scheme is used in conjunction with the eigenstructure technique, the size of the subarrays should be at least (K+1)/spl times/(K+1), and the number of the subarrays must be no less than K/spl times/K in order to guarantee the "decorrelation" of /spl kappa/ coherent signals for all possible scenarios. The minimum size of the total uniform rectangular array is thus shown to be 2K/spl times/2K. Instead of using a uniform rectangular array, a minimal subarray structure incorporated with a minimal subarray grouping is also devised for resolving the 2-D DOAs of K coherent signals. The number of sensor elements of the minimal total array is then (K/sup 2/+4K-2) instead of 4K/sup 2/.
机译:我们提出了一种空间平滑方案的分析,该方案扩展为使用均匀矩形阵列估算相干信号的二维(2-D)到达方向(DOA)。通过扩展方案将均匀矩形阵列划分为重叠的矩形子阵列,该扩展方案称为二维空间平滑方案。分析表明,将扩展预处理方案与特征结构技术结合使用时,子阵列的大小至少应为(K + 1)/ spl倍/(K + 1),子阵列的数量必须为不小于K / spl次/ K,以确保在所有可能的情况下/ spl kappa /相干信号的“解相关”。因此,总的均匀矩形阵列的最小尺寸显示为2K / spl乘以/ 2K。代替使用统一的矩形阵列,还设计了结合最小子阵列分组的最小子阵列结构,用于解析K个相干信号的二维DOA。那么,最小总阵列的传感器元件的数量为(K / sup 2 / + 4K-2),而不是4K / sup 2 /。

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