基于CEEMD和排列熵的SAR窄带干扰抑制方法

闵林; 张衡瑞; 吕宗森; 李宁; 赵建辉

引用本文:	闵林, 张衡瑞, 吕宗森, 李宁, 赵建辉. 基于CEEMD和排列熵的SAR窄带干扰抑制方法[J]. 雷达科学与技术, 2022, 20(5): 549-554.[点击复制]
	MIN Lin, ZHANG Hengrui, LYU Zongsen, LI Ning, ZHAO Jianhui. Narrow-Band Interference Suppression Method for SAR Based on CEEMD and Permutation Entropy[J]. Radar Science and Technology, 2022, 20(5): 549-554.[点击复制]

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基于CEEMD和排列熵的SAR窄带干扰抑制方法
闵林, 张衡瑞, 吕宗森, 李宁, 赵建辉
1. 河南大学信息化管理办公室，河南开封 475004;2. 河南大学计算机与信息工程学院，河南开封 475004;3. 河南省大数据分析与处理重点实验室，河南开封 475004;4. 河南省智能技术与应用工程技术研究中心，河南开封 475004

摘要:

为了有效抑制合成孔径雷达（SAR）系统中常见的窄带干扰（NBI），本文提出一种基于互补集合经验模态分解（CEEMD）和排列熵（PE）的NBI抑制方法。矩峰度系数法用于检测原始回波中是否存在NBI，对包含NBI的回波使用CEEMD将其分解为一系列本征模态函数（IMF）。计算所有IMF排列熵得到全局阈值以区分NBI和有用信号，并使用去除NBI后的IMF分量重建信号以获得良好聚焦的SAR图像。结果表明：所提方法能有效克服经验模态分解（EMD）带来的模态混叠问题，且干扰抑制性能优于传统频域陷波法及基于EMD的NBI抑制方法。

关键词: 合成孔径雷达窄带干扰互补集合经验模态分解排列熵

DOI：DOI:10.3969/j.issn.1672-2337.2022.05.011

分类号:TN959.73

基金项目:国家自然科学基金（No.61871175）；河南省科技攻关计划项目（No.212102210093, 212102210101）；河南省高等学校重点科研项目（No.21A520004）；河南大学研究生教育创新与质量提升计划资助课题（No.SYL20060144）

Narrow-Band Interference Suppression Method for SAR Based on CEEMD and Permutation Entropy

MIN Lin, ZHANG Hengrui, LYU Zongsen, LI Ning, ZHAO Jianhui

1. Network Information Center Office, Henan University, Kaifeng 475004, China;2. College of Computer and Information Engineering, Henan University, Kaifeng 475004, China;3. Henan Key Laboratory of Big Data Analysis and Processing, Henan University, Kaifeng 475004, China;4. Henan Engineering Research Center of Intelligent Technology and Application, Henan University, Kaifeng 475004, China

Abstract:

In order to effectively suppress the narrow-band interference (NBI) common in synthetic aperture radar (SAR) systems, an NBI suppression method based on complementary ensemble empirical mode decomposition (CEEMD) and permutation entropy (PE) is proposed in this paper. The moment kurtosis coefficient method is used to detect whether there is NBI in the raw echo, and the echo containing NBI is decomposed into a series of intrinsic modal functions (IMF) by using the CEEMD. Calculate the second-order difference of PE of all IMFs to obtain a global threshold to distinguish between NBI and useful signals, and use the IMF components after removing the NBI to reconstruct the signal to obtain a well-focused SAR image. Experimental results show that the proposed method can effectively overcome the mixing problem caused by empirical mode decomposition (EMD), and the interference suppression performance is better than the traditional frequency domain notch filter method and the EMD-based NBI suppression method.

Key words: synthetic aperture radar narrow-band interference complementary ensemble empirical mode decomposition permutation entropy