基于最小冗余线阵的二维传播算子DOA估计

针对二维DOA (direction of arrival)估计所需阵元数量较多且阵元利用率较低的问题,提出了一种低阵元冗余度的阵列模型，将最小冗余线阵的应用拓展到二维DOA估计领域，降低了阵列冗余度。同时，利用传播算子算法估计二维波达方向，该算法无需谱峰搜索，且避免了大矩阵的特征分解，在解决计算量问题上有着巨大优势。最小冗余线阵的设置方式，用较少的阵元获得了较大的阵列有效孔径，从而弥补了传播算子算法在低信噪比条件下性能下降的缺点，具有了更好的低信噪比适应能力。该文从理论上论证了三平行最小冗余线阵设置的合理性，仿真实验证明了该方法的有效性。

Propagator method for two-dimensional DOA estimation based on minimum redundancy linear array

In order to overcome the low sensor utilization rate problem existing in most two dimensional direction of arrival (DOA) estimation algorithms, a new array model with low array redundancy is proposed. Therefore, the application of minimum redundancy linear array (MRLA) is extended to two dimensional DOA estimation. Meanwhile, two dimensional spectral peak searching and eigen decomposition of the large matrix are avoided by using a propagator method. The computational complexity is greatly reduced. The larger array effective aperture is obtained by using MRLA, so the performance of DOA estimation in the poor environment with low signal to noise ratio (SNR) is obviously improved. Simulation results show the superiority of this proposed method in precision.