Yang Lisheng, Liu Sheng, Li Dong, Jiang Qingping, Cao Hailin
The State Key Laboratory of Aircraft Tracking Telemetering Command and Communication, Chongqing University, Chongqing 400044, China.
Sensors (Basel). 2016 Feb 23;16(3):274. doi: 10.3390/s16030274.
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.
本文研究了平行线性阵列的二维到达方向（DOA）估计问题。在这项工作中，分别针对非相干信号和相干信号开发了两种阵列流形匹配（AMM）方法。所提出的AMM方法仅在仰角已知或已估计的假设下估计方位角。所提出的方法具有时间效率，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方法比许多当前的先进算法具有更低的计算复杂度。AMM方法产生的估计方位角会自动与仰角配对。更重要的是，对于相干信号方位角的估计，由于所提出的AMM方法不需要去相关处理，因此避免了孔径损失问题。数值研究证明了所提出方法的有效性。
