FDA-MIMO雷达主瓣距离模糊杂波抑制方法

主瓣上存在的距离模糊杂波降低了真实目标的估计准确度，导致检测性能急剧下降，这对传统雷达提出了严峻挑战。基于频控阵（FDA）-多输入多输出（MIMO）雷达的距离角度二维波束指向，本文提出一种对抗主瓣距离模糊杂波的方法。该方法利用发射-接收空域鉴别模糊杂波次数，并根据已搜索到的目标的大致距离，利用多重信号分类算法（MUSIC）精确分辨多个目标及杂波位置，最后通过设计线性约束最小方差（LCMV）自适应滤波器，使杂波失配而被抑制。该方法有效地解决了主瓣距离模糊杂波的抑制问题，提升了复杂环境下的目标检测性能。仿真验证了提出方法的有效性。 

Main-beam range-ambiguous clutter Suppression method with FDA-MIMO radar

The range-ambiguous clutter on the main--beam reduces the estimation accuracy of the real target and leads to a sharp decrease in detection performance, which poses a severe challenge to the traditional radar. Based on the range angle 2D beam pointing of frequency diversity array (FDA)-multiple-input and multiple-output (MIMO) radar, this paper presents a method to countermeasure the main-beam range-ambiguous clutter. This method uses transmitter-receiver airspace to identify ambiguous clutter numbers and based on approximate range of the target being searched, using the multiple signal classification (MUSIC) algorithm to accurately distinguish multiple targets and clutter positions, designing a linearly constrained minimum variance (LCMV) adaptive filter to suppress the mismatched clutter. This method can effectively suppress the main-beam range-ambiguous clutter and improve the performance of target detection in complex environments. Simulation results show the effectiveness of the proposed method.