摘要
针对机载多输入多输出雷达杂波抑制问题,提出一种新的降维空时自适应处理方法.首先,通过空域发射-接收两维固定波束形成和时域多普勒滤波将雷达接收数据由阵元-脉冲域变换到波束-多普勒域,然后再选取检测单元周围若干个三维波束并根据线性约束最小方差准则进行部分联合自适应处理.仿真结果表明,这种算法能大幅降低运算量和对样本数目的要求,且性能优于已有的经典降维空时自适应处理方法.
This paper presents a new reduced-dimension space-time adaptive processing（STAP） method for clutter suppression in the airborne MIMO radar.The received data in the element-pulse domain is firstly transformed to the angle-Doppler domain using the two-dimensional spatial beamforming and temporal Doppler filtering.Then,the partially adaptive processing is performed in a group of three-dimensional beams around the angle-Doppler bin of interest based on the linearly constrained minimum variance（LCMV） criteria.Simulation results demonstrate that the proposed method can significantly reduce the computational load and training requirements,and provide a better performance than the existing classic reduced-dimension STAP methods.
出处
《西安电子科技大学学报》
EI
CAS
CSCD
北大核心
2011年第2期88-92,共5页
Journal of Xidian University
基金
国家自然科学基金资助项目(60971111)
关键词
多输入多输出雷达
机载雷达
空时自适应处理
降维
multiple input multiple output radar
airborne radar
space-time adaptive processing
dimension reduction
