基于CUT自身先验知识的STAP  

STAP Based on the Prior Knowledge of CUT

作　　者：宋培茗 蔡雷雷 曹健[1] 卓欣然 胡进峰[2] SONG Peiming;CAI Leilei;CAO Jian;ZHUO Xinran;HU Jinfeng(The 14th Research Institute of China Electronics Technology Group Corporation,Nanjing 211113,China;School of Electronic Engineering,University of Electronic Science and Technology of China,Chengdu 611731,China)

机构地区：[1]中国电子科技集团公司第十四研究所,江苏南京211113 [2]电子科技大学电子工程学院,四川成都611731

出　　处：《雷达科学与技术》2019年第6期700-704,共5页Radar Science and Technology

基　　金：四川省科技计划项目(No.2017GZ0345);国家自然科学基金(No.61871102,61731006)

摘　　要：在空时自适应处理(STAP)中,通常使用训练样本来估计杂波协方差矩阵(CCM)。在本文中训练样本仅用来估计部分杂波协方差矩阵,大部分杂波协方差矩阵由待检测单元(CUT)计算。注意到CUT具有先验知识:只有待检测的频率通道可能包含目标信号,而其他频率通道只有杂波。因此,提出了一种基于CUT先验知识的STAP方法。这种方法将待检测单元的杂波分为两部分来重建:第一部分是待检测频率通道的杂波成分,该部分可能混有目标信号,因此通过训练样本来估计;第二部分是其他频率通道中的杂波,这部分可直接从CUT中提取,不需要估计。In space-time adaptive processing(STAP),the clutter covariance matrix(CCM)is completely estimated by the training samples.In this paper,only partial CCM is estimated by the training samples while the most of the CCM is calculated by cell under test(CUT).We note that CUT has its own prior knowledge:only the frequency channel to be detected may contain the target signal,the other frequency channels only contain clutter.Thus,we propose a STAP method based on the prior knowledge of CUT.This method reconstructs the clutter by dividing the clutter of CUT into two parts:the first part is the clutter component in the frequency channel to be detected.This part may be mixed with the target signal,so it is estimated by the training samples.The second part is the clutter in the frequency channels except the one to be detected.This part is directly extracted from the CUT and does not need to be estimated.

关 键 词：雷达 空时自适应处理 先验知识 杂波协方差矩阵 

分 类 号：TN957.51[电子电信—信号与信息处理]