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Cross-correlation matrix-based atomic norm minimization for L-shaped array DOA estimation

机译:L型阵列DOA估计的基于互相关矩阵的原子范数最小化

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摘要

A novel two dimension direction-of-arrival (2D-DOA) estimation method for L-shaped array using atomic norm minimization based on the cross-correlation matrix is proposed in this paper. We first reconstruct the autocorrelation matrix of observed signals in the Toeplitz structure by cross-correlation matrix-based atomic norm minimization (CCMANM), and then employ the reconstructed autocorrelation matrix together with Root-MUSIC to retrieve the corresponding frequency. Finally, a pair matching technique based on cross-correlation matrix is presented. In contract to the subspace-based methods, the proposed method can be carried out without knowing the number of source and numerical simulations demonstrate the effectiveness and outperformance of the proposed method.
机译:提出了一种基于互相关矩阵的原子范数最小化的L形阵列二维到达方向(2D-DOA)估计方法。我们首先通过基于互相关矩阵的原子范数最小化(CCMANM)重构Toeplitz结构中观测信号的自相关矩阵,然后将重构的自相关矩阵与Root-MUSIC一起使用以检索相应的频率。最后,提出了一种基于互相关矩阵的对匹配技术。与基于子空间的方法相比,可以在不知道源数目的情况下执行所提出的方法,数值模拟证明了所提出方法的有效性和优越性。

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