Fast 2D DOA Estimation Algorithm by an Array Manifold Matching Method with Parallel Linear Arrays.
Fast 2D DOA Estimation Algorithm by an Array Manifold Matching Method with Parallel Linear Arrays.
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并行线性阵列阵列流形匹配法的快速二维 DOA 估计算法
DOI：
10.3390/s16030274
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发表时间：
2016-02-23
期刊：
影响因子：
--
通讯作者：
Cao H
中科院分区：
文献类型：
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作者：
Yang L;Liu S;Li D;Jiang Q;Cao H
本文研究了平行线阵的二维波达方向估计问题。两个阵列流形匹配（AMM）的方法，在这项工作中，开发的非相干和相干信号，分别。所提出的AMM方法仅在假设仰角已知或估计的情况下估计方位角。所提出的方法是时间有效的，因为它们不需要特征值分解（EVD）或峰值搜索。此外，复杂度分析表明，所提出的AMM方法具有较低的计算复杂度比许多当前的最先进的算法。由AMM方法产生的估计方位角自动与仰角配对。更重要的是，对于相干信号的方位角估计，由于所提出的AMM方法不需要去相关过程，因此避免了孔径损失问题。数值研究证明了所提出的方法的有效性。
In this paper, the problem of two-dimensional (2D) direction-of-arrival (DOA) estimation with parallel linear arrays is addressed. Two array manifold matching (AMM) approaches, in this work, are developed for the incoherent and coherent signals, respectively. The proposed AMM methods estimate the azimuth angle only with the assumption that the elevation angles are known or estimated. The proposed methods are time efficient since they do not require eigenvalue decomposition (EVD) or peak searching. In addition, the complexity analysis shows the proposed AMM approaches have lower computational complexity than many current state-of-the-art algorithms. The estimated azimuth angles produced by the AMM approaches are automatically paired with the elevation angles. More importantly, for estimating the azimuth angles of coherent signals, the aperture loss issue is avoided since a decorrelation procedure is not required for the proposed AMM method. Numerical studies demonstrate the effectiveness of the proposed approaches.