In this letter, we propose a joint processing method of spatial and temporal information from L-shaped sparse array (LSA) for two-dimensional (2-D) direction of arrival (DOA) estimation. In particular, either of the two subarrays in LSA can be any type of linear sparse array. With the proposed method, we can construct a virtual planar sparse array first, whose corresponding 2-D difference coarray owns significantly increased degrees of freedom, which can help to enhance the 2-D DOA estimation performance. Thereafter, subspace-based method with 2-D spatial smoothing can be applied to achieve the automatically paired and unambiguous 2-D DOA estimation. Simulation results verify the superiority of the proposed method.

中文翻译：

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通过联合使用空间和时间信息对 L 形稀疏阵列进行二维 DOA 估计

在这封信中，我们提出了一种来自 L 形稀疏阵列 (LSA) 的空间和时间信息的联合处理方法，用于二维 (2-D) 到达方向 (DOA) 估计。特别地，LSA 中的两个子阵列中的任何一个都可以是任何类型的线性稀疏阵列。使用所提出的方法，我们可以首先构造一个虚拟平面稀疏阵列，其对应的二维差分协阵列具有显着增加的自由度，这有助于提高二维 DOA 估计性能。此后，可以应用具有二维空间平滑的基于子空间的方法来实现自动配对和明确的二维 DOA 估计。仿真结果验证了所提方法的优越性。