摘要
针对机载双基雷达传统降维空时自适应处理方法杂波抑制性能较差的问题,提出了一种新的降维方法.该方法对杂波协方差估计矩阵进行降维处理,利用时变加权技术对降维后的权值矢量进行更新,以补偿杂波的距离相关性,提高杂波协方差估计准确度.理论分析和仿真结果表明:在不同的双基雷达配置情况下,该方法均可以对非均匀杂波进行有效抑制;且相对时变加权技术最优空时自适应处理,运算量和所需训练样本数大幅减少.此外,与多普勒补偿或角度多普勒补偿方法相比,该方法无需了解有关雷达平台和配置场景的先验知识,适于工程实现.
This paper introduces a novel dimension-reduced space-time adaptive processing(STAP)method to deal with the problem of low performance of clutter suppression using the traditional dimension-reduced STAP method in the airborne bistatic radar system.In order to compensate the clutter range dependence of the airborne bistatic radar,this method uses the time-Varying weighting(TVW)techniques to modify the error of the dimension-reduced covariance matrix of clutter and noise caused by the nonlinearity.The theoretical analysis and simulation results manifest that this method can solve effectively the clutter nonhomogeneity of the airborne bistatic radar in different configure situations.Compared with the linear time-Varying weighting,this method can reduce the computational load and training cells.This method is also a data-independent method which can adaptively compensate the range nonstationarity without the prior knowledge of the moving platforms and varying scenarios.
出处
《电波科学学报》
EI
CSCD
北大核心
2015年第1期194-200,共7页
Chinese Journal of Radio Science
基金
国家自然科学基金(61372033)
关键词
机载双基雷达
空时自适应处理
时变加权
降维方法
airborne bistatic radar
STAP
time-varying weighting
dimension-reduced STAP method
