一种非均匀环境下的MIMO雷达STAP算法

用来处理机载天线阵列所获数据的自适应技术被称作空时自适应处理技术。为了准确估计出检测距离单元杂波干扰的统计特性,传统的STAP算法要求训练样本和待检测样本中的杂波干扰应该是独立同分布（IID）的。但对于MIMO雷达体制和在雷达实际工作的非均匀杂波环境下很难做到这一点。本文将适用于均匀杂波环境的子空间算法推广到了非均匀环境下,仿真结果表明推广后的子空间算法在非均匀杂波环境下有着优秀的性能。

STAP algorithm for mimo radar in nonhomogeneous environment

The adaptive techniques for processing the data from airborne antenna arrays are called spacetime adaptive processing （STAP） techniques.To estimate the statistic characteristic of the clutter interference in a range bin of interest exactly,the traditional STAP algorithm requires that clutter interference in the training samples must be independently and identically distributed（IID） with that in the test sample.However,it’s very hard for MIMO radar system to do so,the actual nonhomogeneous environment of clutter makes it worse.This paper extends the sub-space algorithm suitable for the homogeneous environment to the situation of nonhomogeneous environment.The simulation result shows that it works well in the nonhomogeneous environment.