摘要
本文针对非均匀杂波,利用球不变随机矢量(SIRV)建立了机载多输入多输出(MIMO)雷达杂波模型.基于杂波协方差矩阵不满秩,提出了一种用于估计归一化杂波协方差矩阵的修正渐近最大似然(MAML)算法及其广义似然比检测器,即修正渐近广义似然比检测器(MAGLRT).仿真试验结果表明,在非均匀的杂波下,MAGLRT较常规高斯模型检测器具有明显优势;与单输入多输出(SIMO)雷达相比,该MIMO雷达也显示出更优越的检测性能.
A model of clutter of airborne multiple-input multiple-output(MIMO) radar in nonhomogeneous environment is formulated based on spherically invariant random vectors(SIRV).The modified asymptotical maximum likelihood(MAML) method is proposed to estimate the singular normalized covariance matrix of clutter and the modified asymptotical generalized likelihood ratio test(MAGLRT) detector is developed based on it.Simulation results reveal that the MAGLRT detector has a great advantage over conventional Gaussian modeled detector,meanwhile the MIMO radar has better detection performance compared with SIMO radar.
出处
《电子学报》
EI
CAS
CSCD
北大核心
2011年第3期626-631,共6页
Acta Electronica Sinica
基金
国家预研项目(No.51307050102)
2006年教育部新世纪优秀人才支持计划项目(No.NCET-06-0856)
西安电子科技大学基本科研业务费(No.JY10000902010)
国家杰出青年科学基金(No.60825104)
国家自然科学基金(No.61001209)
关键词
MIMO雷达
非均匀杂波
球不变随机矢量
修正渐近广义似然比检测
multiple-input multiple-output(MIMO) radar
nonhomogeneous clutter
spherically invariant random vectors(SIRV)
modified asymptotical generalized likelihood ratio test(MAGLRT)