非均匀环境下利用雷达参数信息的STAP方法

摘要

The heterogeneous clutter results in degradation of clutter suppression performance of space-time adaptive processing (STAP). To solve this problem, a subspace method is proposed based on the radar parameters and the time-limited and band-limited features of the prolate spheroidal wave functions. The method can improve the clutter suppression performance in heterogeneous environment, reduce the computational complexity and demand for homogeneous samples. However, it is hard to estimate the precise clutter rank if the proposed method suffers from crab angle. Therefore, with the radar parameters and the detection environment geometry, a pre-process method is presented to eliminate the crab influence and improve the clutter suppression performance in heterogeneous environment. Finally, simulation attests its effectiveness.%针对非均匀杂波环境下空时自适应处理杂波抑制性能下降的问题，基于扁平椭球波函数的时限带限特性，给出一种利用雷达参数信息构造子空间的杂波抑制方法，降低了计算量与均匀样本数需求，提高了对非均匀杂波的抑制性能。其次，针对存在阵面偏航角误差时杂波秩无法准确估计造成基于扁平椭球波函数构造杂波子空间方法杂波抑制性能下降的问题，结合雷达参数信息及探测环境的几何构型提出一种杂波预处理方法以消除偏航角影响，从而提升其非均匀环境下的杂波抑制性能。仿真结果验证了算法的有效性。