稀疏平面阵列幅相误差估计算法

稀疏阵列存在模糊特性,导致当阵元幅相误差或位置误差存在时,无法直接应用传统的ISM方法.针对这一缺陷,文中借用线阵中基于介质解模糊的DOA估计算法原理,将该算法推广至二维稀疏平面阵列,通过引入抑制度的概念深入研究了介质参数对抑制效果的影响,并进一步将该算法与经典ISM法相结合,提出了一种新的稀疏平面阵列幅相误差估计算法...

Amplitude and Phase Error Estimation Algorithm for Sparse Planar Array

The sparse array has ambiguity characteristics, which makes the traditional ISM method unable to be directly applied when the amplitude and phase errors or position errors of the array elements exist. In view of this defect, the study utilizes the principle of DOA estimation algorithm based on medium defuzzification in linear arrays, extends this algorithm to two-dimensional sparse planar arrays, and deeply studies the influence of medium parameters on the suppression effect by introducing the concept of suppression degree. This study combines the algorithm with the classic ISM method to establish a new sparse planar array amplitude and phase error estimation algorithm. The simulation results show that this proposed method can not only make the blur angle suppression degree up to 17 dB under the condition of reasonable selection of media parameters, but also can estimate the amplitude and phase error under the premise of obtaining the accurate angle, which improves the robustness.