基于SA&M-Relax的外辐射源雷达目标DOA估计方法

外辐射源雷达回波信噪比极低，通常在距离-多普勒二维相关后进行目标角度估计。在这种单快拍情况下，经典的超分辨算法由于协方差矩阵的非正定性导致算法性能较差。针对这一问题，在A&M插值迭代算法的基础上，提出了一种适用于稀疏阵列的SA&M-Relax外辐射源雷达目标DOA估计方法。在相同阵元数目的情况下，与原有算法相比提高了目标角度估计的分辨率与精度，同时减少了运算量。通过仿真实验验证了所提方法的有效性。 

SA&M-Relax target DOA estimation method for passive radar

Due to the low signal-to-noise ratio of echo in passive radar, the target angle is usually estimated after range-Doppler 2D correlation. In this case of single snapshot, the performance of the classical super resolution method is poor due to the non-positive nature of the covariance matrix. To solve this problem, based on the A&M interpolation iterative algorithm (iterative frequency estimation by interpolation on Fourier coefficients algorithm), the SA&M-Relax passive radar target DOA estimation method suitable for sparse array is proposed.In the case of the same number of sensors, the resolution and precision of the target angle estimation are improved compared with the original algorithm, and the computation amount is reduced. Finally, the effectiveness of the proposed algorithm is verified by simulation experiments.