稀疏恢复空时自适应处理技术研究综述

doi:10.3969/j.issn.0372-2112.2019.03.033

电子学报 ›› 2019, Vol. 47 ›› Issue (3): 748-756.DOI: 10.3969/j.issn.0372-2112.2019.03.033

稀疏恢复空时自适应处理技术研究综述

段克清^1,3, 袁华东¹, 许红², 谢文冲¹, 王永良¹

1. 空军预警学院, 湖北武汉 430019;
2. 海军工程大学电子工程学院, 湖北武汉 430033;
3. 中山大学电子与通信工程学院, 广东广州 510006

收稿日期:2018-05-08 修回日期:2018-07-03 出版日期:2019-03-25
- 作者简介:
- 段克清 男,1981年生于河北石家庄,2010年获国防科技大学信息与通信工程专业工学博士学位,现为空军预警学院雷达兵器运用工程军队重点实验室讲师.主要研究方向为空时自适应处理、阵列信号处理和稀疏恢复等.E-mail:duankeqing@aliyun.com;袁华东 男,1985年生于湖北宜昌,现为空军预警学院信息与通信工程专业博士研究生.主要研究方向为空时自适应处理和稀疏恢复等.E-mail:yhdtiandadida@126.com;许红男,1991年生于四川成都,现为海军工程大学通信与信息系统专业博士研究生.主要研究方向为目标跟踪、信息融合和认知雷达等.E-mail:xuhongzhxu@163.com;谢文冲 男,1979年生于山西运城,2006年获国防科技大学信息与通信工程专业工学博士学位,现为空军预警学院雷达兵器运用工程军队重点实验室副教授.主要研究方向为机载雷达信号处理、空时自适应处理和阵列信号处理等.E-mail:xwch1978@aliyun.com;王永良 男,1965年生于浙江嘉兴,1994年获西安电子科技大学信号与信息处理专业工学博士学位,现为空军预警学院雷达兵器运用工程军队重点实验室教授、博士生导师.主要研究方向为雷达信号处理、空时自适应处理和阵列信号处理等.E-mail:ylwangkjld@163.com
- 基金资助:
- 国家自然科学基金 (No.61871397，No.61501506）

An Overview on Sparse Recovery Space-Time Adaptive Processing Technique

DUAN Ke-qing^1,3, YUAN Hua-dong¹, XU Hong², XIE Wen-chong¹, WANG Yong-liang¹

1. Air Force Early Warning Academy, Wuhan, Hubei 430019, China;
2. Electronic Engineering Department, Navy University of Engineering, Wuhan, Hubei 430033, China;
3. School of Electronic and Communication Engineering, Sun Yat-sen University, Guangzhou, Guangdong 510006, China

Received:2018-05-08 Revised:2018-07-03 Online:2019-03-25 Published:2019-03-25

摘要/Abstract

摘要： 相较于传统空时自适应处理（STAP）技术，稀疏恢复（SR）STAP技术在小样本条件下杂波抑制性能显著提升，因此适用于现实非均匀杂波环境.本文首先阐述了SR STAP基本原理，分析了机载雷达杂波空时稀疏特性；然后总结了SR STAP发展历史与现状，并在此基础上针对其相关科学问题进行了探讨，包括：空时谱估计还是杂波抑制、单观测样本还是多观测样本、白化还是置零、重构算法参数依赖还是不依赖、非平稳杂波下是否适用及干扰条件下是否可行；最后给出了当前SR STAP技术走向实用化过程中所面临的关键问题，即网格失配和空域误差影响，并分别讨论了无网格压缩感知和字典自校正的解决途径.

关键词: 空时自适应处理, 机载雷达, 杂波抑制, 稀疏恢复, 非均匀杂波环境, 无网格压缩感知

Abstract: Compared with conventional space-time adaptive processing (STAP) technique,sparse recovery (SR) STAP technique can significantly improve the clutter suppression performance in the case of limited training samples,and hence is well suited for practical non-homogeneous clutter environment.Firstly,the paper describes the principle of SR STAP,and analyzes the clutter sparsity in space-time plane for airborne radar.Then the development and current status of SR STAP is summarized.On this basis,some key issues about the technique are discussed which include space-time spectrum estimation or clutter suppression,single or multiple measurements,clutter whitening or nulling,parameter dependence or independence for recovery algorithms,whether applicable for non-stationary clutter environment,and whether feasible under the condition of jamming.Finally,key problems confronted in the real-world applications for sparse recovery STAP technique are presented,which include off-grid effect,influence of spatial errors,and huge computational cost.Meanwhile,effective ways including gridless compressive sensing and self-calibration of overcomplete dictionary are respectively discussed to solve above problems.

Key words: space-time adaptive processing, airborne radar, clutter suppression, sparse recovery, non-homogeneous clutter environment, gridless compressive sensing

中图分类号:

TN957

段克清, 袁华东, 许红, 谢文冲, 王永良. 稀疏恢复空时自适应处理技术研究综述[J]. 电子学报, 2019, 47(3): 748-756.

DUAN Ke-qing, YUAN Hua-dong, XU Hong, XIE Wen-chong, WANG Yong-liang. An Overview on Sparse Recovery Space-Time Adaptive Processing Technique[J]. Acta Electronica Sinica, 2019, 47(3): 748-756.

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稀疏恢复空时自适应处理技术研究综述

An Overview on Sparse Recovery Space-Time Adaptive Processing Technique

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