基于多帧观测联合感知的空时自适应处理  

Space-Time Adaptive Processing Based on Jointly Sensing of Multiple Measurements

作　　者：方明[1] 戴奉周[1] 刘宏伟[1] 王小谟[1,2] 

机构地区：[1]西安电子科技大学雷达信号处理国家重点实验室,陕西西安710071 [2]中国电子科学研究院,北京100041

出　　处：《电子学报》2015年第12期2368-2373,共6页Acta Electronica Sinica

基　　金：国家自然科学基金(No.61201285;No.61271291);新世纪优秀人才支持计划(No.NCET-09-0630);全国优秀博士学位论文作者专项资金资助项目(No.FANEDD-201156)

摘　　要：在机载雷达体制中,空时自适应处理STAP(Space-Time Adaptive Processing)可有效抑制杂波并显著提高雷达对慢动目标的检测性能.但是在非均匀环境中,缺乏独立同分布的训练样本会使STAP性能严重下降.针对这个问题,本文提出一种基于多帧观测联合感知的空时自适应处理方法.该方法交替发射正交信号和普通的相控阵信号.检测前,通过当前及先前的环境回波感知观测场景获取杂波信息;检测时,先利用杂波信息结合平台参数及系统参数估计杂波协方差矩阵,再将估计的协方差矩阵与样本协方差矩阵进行组合以构造空时滤波器,抑制杂波,提高输出信杂比.仿真结果表明,与现有的知识辅助类STAP算法和降维算法相比,该方法在缺乏准确先验知识的情况下,可以有效地抑制非均匀杂波.Space-time adaptive processing（STAP） is widely used for clutter mitigation in airborne radar.However,STAP shows significantly performance degradation for lacking sufficient independent identically distributed（IID） training samples in heterogeneous environment.To solve this problem,we propose a STAP approach based on joindy sensing of multiple measurements.The method sets the radar work with orthogonal and identical waveforms alternately,and achieves the clutter information by current and previous environment echoes.Then the clutter information and platform parameters are used,and a clutter covariance matrix is obtained incorporating system parameters.Finally the space-time processor can be built based on the combination of the estimated clutter covariance matrix and the sample covariance matrix.The simulation results show that the new approach can achieve better clutter mitigation performance under the circumstance of inaccurate environmental knowledge.

关 键 词：机载雷达 杂波抑制 空时自适应处理 联合感知 正交信号 

分 类 号：TN958[电子电信—信号与信息处理]