基于稀疏表示的双平行线阵二维DOA估计

Two-dimensional DOA estimation of double parallel arrays based on sparse representation

摘要:

为了对空域目标的方位角和俯仰角进行有效估计，提出一种基于稀疏表示的双平行线阵二维DOA估计方法。首先需构建包含目标方位角和俯仰角信息的2个空间复合角；然后利用稀疏表示技术求解其中的一个空间复合角，以此作为前提条件，另一个空间复合角就可以解耦为一维波达方向(DOA)估计问题，利用矩阵运算可以求解出来；最后根据已求解的2个空间复合角对方位角和俯仰角进行配对求解。与现有算法相比较，所提方法受快拍数的影响较小，在信噪比较高、角度间隔较大的情况下，具有良好的性能。

Abstract:

In order to estimate the azimuth angle and pitch angle of airborne target effectively, a two-dimensional Direction Of Arrival(DOA) estimation method based on sparse representation is presented. Firstly, it is necessary to construct two spatial compound angles containing the azimuth and pitch information of the target; then, one of the spatial composite angles is solved by sparse representation technology, and the other spatial composite angle can be decoupled into one-dimensional DOA estimation problem, which can be solved by matrix operation; finally, the azimuth angle and pitch angle are solved in pairs according to the solved two spatial compound angles. Compared with the existing algorithms, the proposed method is less affected by the number of snapshots, and has good performance under the condition of high signal-to-noise ratio and large angular interval.