基于对角加载的机载MIMO雷达自适应匹配滤波检测器

Adaptive Matched Filter Detectors with Diagonal Loading for MIMO Radars

研究了基于自适应匹配滤波(Adaptive Matched Filter,AMF)的机载MIMO雷达目标检测问题。针对参考单元数据不足对MIMO-AMF检测器性能的影响,提出了基于对角加载的MIMO雷达AMF(MIMO-LAMF)检测器,并对其检测性能进行分析,给出虚警概率和检测概率的闭合表达式。该检测器利用机载MIMO雷达杂波子空间低秩的特点和对角加载技术,解决了因参考数据不足所引起的矩阵病态问题。为了减少MIMO-LAMF检测器的运算量,在分析杂波协方差矩阵块对角化特性的基础上,给出一种简化MIMO-LAMF检测器。理论分析和仿真结果都表明,上述两种检测器相对于杂波协方差矩阵都具有恒虚警特性,检测性能优于MIMO-AMF检测器。

This paper studies the adaptive matched filter detectors （AMFD） for airborne MIMO radars. It is wellknown that the AMFD performs poorly in the case of limited secondary data. To settle this problem, we propose a AMFD with diagonal loading （LAMFD） by exploiting the low rank property of MIMO radar clutter subspace and the diagonal loading techniques. The closed-form detection probability and false alarm probability are derived. To reduce the computational load of the proposed detector, a simplified detector is introduced by considering the block-diagonal property of the clutter covariance matrix. Theoretical and simulation results show that the proposed detectors have CFAR with respect to the covariance matrix of clutter, and are superior to the MIMO-AMF detectors.