摘要
针对多输入多输出(multiple input multiple output,MIMO)雷达虚拟阵列孔径大,典型的降维空时自适应处理(space-time adaptive processing,STAP)方法——m-Capon法无法适用的问题,对子阵级m-Capon法进行了研究,并与相应的相控阵雷达3-Capon方法进行了比较。计算机仿真结果表明,处理器维数相同时,子阵级3-Capon方法性能明显提高,但非主杂波区误差鲁棒性差;子阵级1-Capon法在非主杂波区性能明显提高,但主杂波凹口太宽。在实际应用中,可综合运用两种方法对主杂波和非主杂波区分开处理,为工程实现提供可靠依据。
As the multiple-input multiple-output(MIMO) radar has a large virtual aperture in spatial domain.Therefore,the conventional reduced-rank space-time adaptive processing(STAP)method,e.g.,the m-Capon method,is not practicable due to its large degree of freedom(DOF).The sub-array domain m-Capon method is addressed.Computer simulation results show that the sub-array domain 3-Capon method has better performance compared with its counter part,the phased array radar,with the same processor DOF.However,it has insufficient robustness to the array error in side-lobe clutter section.The sub-array domain 1-Capon method has obviously better performance compared with the phased array radar in side-lobe clutter section.While its' main clutter null is too wide.In real applications,these two methods could be alternatively used in the main and side-lobe clutter sections,which can provide the solid theory for the engineering realization.
出处
《系统工程与电子技术》
EI
CSCD
北大核心
2010年第6期1117-1120,共4页
Systems Engineering and Electronics
基金
国家自然科学基金(60736009)资助课题
关键词
多输入多输出
空时自适应处理
m-Capon法
子阵合成
multiple input multiple output(MIMO)
space-time adaptive processing(STAP)
m-Capon method
sub-array synthesis