赵博2,,,
黄磊2
①.军事科学院 ??北京 ??100091
②.深圳大学信息工程学院广东省智能信息处理重点实验室 ??深圳 ??518060
基金项目:国家自然科学基金(61801297, U1713217, U1501253, 61501485, 61601300, 61601304)，中国博士后科学基金(2015M582413)，广东省自然科学基金(2015A030311030)，深圳市基础研究项目(ZDSYS201507081625213, JCYJ20160520165659418, JCYJ20170302142545828, JCYJ20150324140036835)
详细信息
作者简介:刘宁：刘 ? 宁(1965–)，女，福建省福州人，硕士，高级工程师。1989年于电子科技大学获工程硕士学位。现在军事科学院工作，主要研究方向为信息处理与电子防御
赵博：赵 ? 博(1986–)，男，河南南阳人，博士，博士后。2015年在西安电子科技大学获得博士学位，现在深圳大学从事博士后研究工作。主要研究方向为雷达信号处理与电子对抗。E-mail: b_zhao@126.com
黄磊：黄 ? 磊(1975–)，男，广东湛江人，博士，****。现在深圳大学信息工程学院担任****，主要研究方向为阵列信号处理、雷达信号处理
通讯作者:赵博 ? b_zhao@126.com
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出版历程
收稿日期:2018-09-03
修回日期:2018-10-19
网络出版日期:2018-11-27
Anti-deceptive Jamming Methods Based on Single-channel Synthetic Aperture Radar
LIU Ning1,ZHAO Bo2,,,
HUANG Lei2
①. Academy of Military Science, Beijing 100091, China
②. Guangdong Key Laboratory of Intelligent Information Processing, College of Information Engineering, Shenzhen University, Shenzhen 518060, China
Funds:The National Natural Science Foundation of China (61801297, U1713217, U1501253, 61501485, 61601300, 61601304), The China Postdoctoral Science Foundation (2015M582413), The Natural Science Foundation of Guangdong Province, China (2015A030311030), The Foundation of Shenzhen City (ZDSYS201507081625213, JCYJ20160520165659418, JCYJ20170302142545828, JCYJ20150324140036835)
More Information
Corresponding author:ZHAO Bo, b_zhao@126.com
摘要
摘要:该文讨论了单通道、固定波形SAR成像假设下的抗欺骗干扰方法，在有限的空域自由度与时域自由度下，利用欺骗干扰理论的本质缺陷，有效地提升了SAR系统在复杂电磁环境下的信息获取能力。建立了SAR成像与欺骗干扰的几何与信号模型，根据其各自的工作机理分析真实回波与欺骗干扰的特征差异。采用不同的成像处理流程提取两者各自的特征，并基于统计信息对差异特征进行增强，提高真实目标与虚假目标的分离度，从而实现欺骗干扰的辨识。并进一步采用动态合成孔径处理方法，构造真实目标与虚假目标的优化重构问题，通过对其求解实现两者的超分辨分离重构，达到欺骗干扰抑制的目的。仿真实验验证了该文方法的有效性。
关键词:单通道/
合成孔径雷达/
动态合成孔径/
超分辨分离重构
Abstract:This paper discusses anti-deceptive jamming methods based on single-channel and fixed waveform assumptions for synthetic aperture radar imaging. Using the essential defects of the deceptive-jamming theory, the information acquisition ability of the Synthetic Aperture Radar (SAR) system in a complicated electromagnetic environment is effectively improved with limited degrees of freedom in spatial and time domains. Geometric and signal models of SAR imaging and deceptive jamming are established and the different characteristics between them are analyzed according to their working mechanisms. Upon extracting their characteristic differences via different imaging processes and enhancing them based on statistical information, the degree of separation between the true and false targets is increased. Therefore, identification on the deceptive jamming is realized. Moreover, an approach for the dynamic synthetic aperture is used to formulate an optimization problem for the reconstruction of true and false targets. By solving such a problem, the true and false targets are separately reconstructed with super-resolution, achieving the goal of deceptive-jamming suppression. The effectiveness of the proposed methods is verified by simulations.
Key words:Single-channel/
Synthetic Aperture Radar (SAR)/
Dynamic synthetic aperture/
Separate reconstruction with super-resolution
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