摘要
非均匀环境下,机载MIMO雷达杂波不再满足独立同分布(independently identically distributed,IID)条件,由于没有足够多的IID样本来估计杂波协方差矩阵,从而导致传统的STAP方法性能急剧下降。本文研究了非均匀环境下机载MIMO雷达的杂波抑制问题,将空时自回归算法(Space time autoaggressive,STAR)引入机载MIMO雷达,降低训练样本数目,减小运算量。针对STAR算法中参数确定复杂、易受训练样本数目不足影响的缺点,提出了一种基于杂波特征结构的模型参数确定方法,仿真结果表明,该方法能在极小训练样本条件下,有效确定模型参数,实现杂波抑制,适用于非均匀杂波环境。
The clutter distribution of an alrborne multiple input and multiple output （MIMO）radar in non-homogeneous environment varies with ranges and samples in different range gates are not independently identically distributed vectors,so that the statistical space time adaptive processing（STAP）methods degrade heavily.A clutter suppression method for alr-borne MIMO radar in non-homogeneous environments is studied in this paper.Firstly,Space time autoaggressive （STAR） method is introduced to alrborne MIMO radar for clutter suppression and then an AR model parameters estimation method for STAR is proposed to decrease the complexity of traditional method.Simulation results show the proposed method can es-timate parameters exactly and rapidly with only few tralning samples and be fit for clutter suppression in non-homogeneous environments.
出处
《信号处理》
CSCD
北大核心
2015年第4期393-398,共6页
Journal of Signal Processing
基金
国家自然科学基金(61201459
61301210)
江苏省自然科学基金(BK2012408
BK20130815)
中央高校科研业务费(2012B6014)资助课题
关键词
多输入多输出雷达
空时自回归
杂波抑制
空时自适应处理
multiple input multiple output radar
space time autoaggresstive
clutter suppression
space time adaptive pro-cessing
