基于自监督复数域深度学习网络的SAR有源压制干扰抑制方法

化青龙; 魏晨曦; 张云; 张倩; 冀振元; 姜义成

doi:10.12263/DZXB.20220551

您当前的位置：

首页 >

文章列表页 >

基于自监督复数域深度学习网络的SAR有源压制干扰抑制方法

学术论文 | 更新时间：2025-12-08

- 基于自监督复数域深度学习网络的SAR有源压制干扰抑制方法
- Active Jamming Suppression for SAR Images Based on Self-Supervised Complex-Valued Deep Learning
- 电子学报 2023年51卷第4期页码：965-974
- 作者机构：
  
  哈尔滨工业大学电子与信息工程学院，黑龙江哈尔滨 150001
- 作者简介：
  
  [ "化青龙男，1995年出生，安徽阜阳人.现为哈尔滨工业大学博士.主要研究方向为雷达图像处理和深度学习网络框架.E-mail: huaqinglong_hit@163.com" ]
  [ "魏晨曦女，1998年出生，辽宁沈阳人.现为哈尔滨工业大学硕士.主要研究方向为SAR图像处理和目标检测.E-mail: weicxjlu@163.com" ]
  [ "张云（通讯作者）女，1975年出生，黑龙江虎林人.现为哈尔滨工业大学教授、博士生导师.主要研究方向为雷达信号处理、SAR成像、机器学习和遥感模式分析. Email: zhangyunhit@hit.edu.cn" ]
  [ "张倩女，1999年出生，河北廊坊人.现为哈尔滨工业大学硕士.主要研究方向为SAR抗干扰波形设计与优化.E-mail: 21S005086@stu.hit.edu.cn" ]
  [ "冀振元男，1972年出生，黑龙江五常人.现为哈尔滨工业大学教授.主要研究方向为海态遥感、雷达成像与目标识别.中国电子学会会员编号：E190001887M.E-mail: jizhenyuan@hit.edu.cn" ]
  [ "姜义成男，1964年出生，黑龙江哈尔滨人.现为哈尔滨工业大学教授、博士生导师.主要研究方向为雷达信号处理.中国电子学会会员编号：E190004807S.E-mail: jiangyc@hit.edu.cn" ]
- 基金信息：
  
  国家自然科学基金(61201304;61201308)
- DOI：10.12263/DZXB.20220551
  中图分类号： TP751;
- 收稿：2022-05-14，
  
  修回：2022-07-27，
  
  纸质出版：2023-04-25
- 稿件说明：
移动端阅览
化青龙,魏晨曦,张云等.基于自监督复数域深度学习网络的SAR有源压制干扰抑制方法[J].电子学报,2023,51(04):965-974.

HUA Qing-long,WEI Chen-xi,ZHANG Yun,et al.Active Jamming Suppression for SAR Images Based on Self-Supervised Complex-Valued Deep Learning[J].ACTA ELECTRONICA SINICA,2023,51(04):965-974.
化青龙,魏晨曦,张云等.基于自监督复数域深度学习网络的SAR有源压制干扰抑制方法[J].电子学报,2023,51(04):965-974. DOI： 10.12263/DZXB.20220551.

HUA Qing-long,WEI Chen-xi,ZHANG Yun,et al.Active Jamming Suppression for SAR Images Based on Self-Supervised Complex-Valued Deep Learning[J].ACTA ELECTRONICA SINICA,2023,51(04):965-974. DOI： 10.12263/DZXB.20220551.

摘要

合成孔径雷达（Synthetic Aperture Radar，SAR）具有全天时、全天候、高分辨率对地观测的优势，但在成像过程中容易受到电磁干扰，进而严重影响SAR图像的判读与解译.针对复杂对抗环境下的强有源压制干扰问题，本文提出一种基于自监督复数域深度学习的SAR有源压制干扰抑制方法，以及一种新型复数域干扰抑制网络，对权值、激活函数及卷积运算等进行了复数域处理设计，挖掘SAR复数域图像中目标和干扰在幅度和相位两方面的不同信息表征，实现对干扰的抑制.同时本文提出一种自监督训练策略，解决传统网络训练过程严重依赖人工标注样本的问题，其适用于复杂干扰下样本难以标注的应用场景.开展仿真分析与实测数据验证，实验结果表明所提方法可有效地抑制复杂背景下的有源压制干扰，具有自监督智能干扰抑制能力.

Abstract

Synthetic aperture radar (SAR) has the advantages of all-day

all-weather

and high-resolution in the earth observation

but it is susceptible to electromagnetic interference during the imaging process

which seriously affects the subsequent interpretation of SAR images. To this end

this paper proposes a suppression method for SAR blanketing jamming based on self-supervised complex-valued deep learning

and proposes a novel complex-valued interference suppression network

which can make full use of the amplitude and phase information of SAR complex images. The weights

activation functions and convolution operations of the network are designed for complex domain processing

and the different information representations of target and clutter in amplitude and phase in SAR images are mined to achieve interference suppression. Meanwhile

a self-supervised training strategy is proposed to solve the problem of relying heavily on manually labeled samples in the traditional network training process

and is suitable for application scenarios where samples are difficult to be labeled under complex interference. The simulation analysis and experimental verification are carried out. The experimental results show that the proposed method can effectively suppress the active jamming of complex backgrounds

and has the ability of self-supervised intelligent interference suppression.

关键词

Keywords

references

黄岩 , 赵博 , 陶明亮 , 等 . 合成孔径雷达抗干扰技术综述 [J ] . 雷达学报 , 2020 , 9 ( 1 ): 86 - 106 .

HUANG Y , ZHAO B , TAO M L , et al . Review of synthetic aperture radar interference suppression [J ] . Journal of Radars , 2020 , 9 ( 1 ): 86 - 106 . (in Chinese)

粟嘉 , 陶海红 , 宋大伟 , 等 . 基于WD和时频滑窗掩膜的SAR干扰抑制算法 [J ] . 电子学报 , 2015 , 43 ( 12 ): 2345 - 2351 .

SU J , TAO H H , SONG D W , et al . Interference suppression algorithm for SAR based on WD and sliding window masking technique time-frequency domain [J ] . Acta Electronica Sinica , 2015 , 43 ( 12 ): 2345 - 2351 . (in Chinese)

袁冠杰 , 王虹 , 陈静 , 等 . 基于特征提取融合判决的卫星干扰识别算法 [J ] . 微波学报 , 2021 , 37 ( S1 ): 241 - 244 .

YUAN G J , WANG H , CHEN J , et al . Satellite jamming recognition algorithm based on feature extraction and fusion decision [J ] . Journal of Microwaves , 2021 , 37 ( S1 ): 241 - 244 . (in Chinese)

DJUKANOVIC S , POPOVIC V . A parametric method for multicomponent interference suppression in noise radars [J ] . IEEE Transactions on Aerospace and Electronic Systems , 2012 , 48 ( 3 ): 2730 - 2738 .

LIU Z , LIAO G , and YANG Z . Time variant RFI suppression for SAR using iterative adaptive approach [J ] . IEEE Geoscience and Remote Sensing Letters , 2013 , 10 ( 6 ): 1424 - 1428 .

YANG Z , DU W , LIU Z , et al . WBI suppression for SAR using iterative adaptive method [J ] . IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing , 2015 , 9 ( 3 ): 1008 - 1014 .

LIU H , LI D , ZHOU Y , et al . Joint wideband interference suppression and SAR signal recovery based on sparse representations [J ] . IEEE Geoscience and Remote Sensing Letters , 2017 , 14 ( 9 ): 1542 - 1546 .

SU J , TAO H , TAO M , et al . Narrowband interference suppression via RPCA-based signal separation in time-frequency domain [J ] . IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing , 2017 , 10 ( 11 ): 5016 - 5025 .

HUANG Y , LIAO G , XU J , et al . Narrowband RFI suppression for SAR system via efficient parameter-free decomposition algorithm [J ] . IEEE Transactions on Geoscience and Remote Sensing , 2018 , 56 ( 6 ): 3311 - 3322 .

MEYER F J , NICOLL J B , and DOULGERIS A P . Correction and characterization of radio frequency interference signatures in L-band synthetic aperture radar data [J ] . IEEE Transactions on Geoscience and Remote Sensing , 2013 , 51 ( 10 ): 4961 - 4972 .

NABIL H , CHEN J , KAMEL H , et al . Bidirectional notch filter for suppressing pulse modulated radiofrequency-interference in SAR data [C ] . 2014 IEEE Geoscience and Remote Sensing Symposium. Quebec City : IEEE , 2014 : 1136 - 1139 .

于春锐 , 张永胜 , 董臻 , 等 . 基于特征分解的SAR射频干扰抑制方法 [J ] . 信号处理 , 2011 , 27 ( 11 ): 1696 - 1700 .

YU C R , ZHANG Y S , DONG Z , et al . RFI suppression for SAR based on Eigen-decomposition method [J ] . Signal Processing , 2011 , 27 ( 11 ): 1696 - 1700 . (in Chinese)

周春晖 , 李飞 , 李宁 , 等 . 改进的基于特征子空间的SAR图像射频干扰抑制算法 [J ] . 雷达学报 , 2018 , 7 ( 2 ): 235 - 243 .

ZHOU C H , LI F , LI N , et al . Modified eigensubspace-based approach for radio-frequency interference suppression of SAR image [J ] . Journal of Radars , 2018 , 7 ( 2 ): 235 - 243 . (in Chinese)

张云 , 化青龙 , 王军 , 等 . 基于C 2 C的自监督SAR海杂波抑制方法、系统、存储介质及设备 : CN114114261A [P ] . 2022-03-01 .

ZHANG Y , HUA Q L , WANG J, et al . C2C-based self-supervised SAR sea clutter suppression method , system, storage medium and device: CN114114261A [P ] . 2022-03-01 . (in Chinese)

ZHANG Y , JIU B , WANG P , et al . An end-to-end anti-jamming target detection method based on CNN [J ] . IEEE Sensors Journal , 2021 , 21 ( 19 ): 21817 - 21828 .

QU Q , WEI S , LIU S , et al . JRNet: Jamming recognition networks for radar compound suppression jamming signals [J ] . IEEE Transactions on Vehicular Technology , 2020 , 69 ( 12 ): 15035 - 15045 .

周峰 , 荣鹏帅 , 樊伟伟 , 等 . 基于深度残差网络的SAR干扰抑制方法 : CN110221256A [P ] . 2019-09-10 .

ZHOU F , RONG P S , FAN W W , et al . SAR interference suppression method based on deep residual network : CN110221256A [P ] . 2019-09-10 . (in Chinese)

ZHOU Z , SIDDIQUEE M M R , TAJBAKHSH N , et al . Unet++: Redesigning skip connections to exploit multiscale features in image segmentation [J ] . IEEE transactions on medical imaging , 2019 , 39 ( 6 ): 1856 - 1867 .

LEHTINEN J , MUNKBERG J , HASSELGREN J , et al . Noise2Noise: Learning image restoration without clean data [C ] // 2018 International Conference on Machine Learning (ICML) . Stockholm : Proceedings of Machine Learning Research , 2018 : 2965 - 2974 .

BAUER E , KOHAVI R . An empirical comparison of voting classification algorithms: Bagging, boosting, and variants [J ] . Machine learning , 1999 , 36 ( 1 ): 105 - 139 .

于春锐 , 张永胜 , 董臻 , 等 . SAR有源压制干扰抑制效果评估方法研究 [J ] . 应用基础与工程科学学报 , 2012 , 20 ( 4 ): 725 - 738 .

YU C R , ZHANG Y S , Dong Z , et al . ECCM effectiveness measure for SAR noise jamming [J ] . Journal of Basic Science and Engineering , 2012 , 20 ( 4 ): 725 - 738 . (in Chinese)

周智敏 , 黄晓涛 , 常文革 , 等 . UWB-SAR抑制RFI算法性能评估与测试 [J ] . 国防科技大学学报 , 2002 ( 2 ): 49 - 53 .

ZHOU Z M , HUANG X T , CHANG W G , et al . Performance evaluation and test of RFI suppression algorithms for UWB-SAR [J ] . Journal of National University of Defense Technology , 2002 ( 2 ): 49 - 53 . (in Chinese)

浏览量

下载量

CSCD

文章被引用时，请邮件提醒。

提交

工具集

关联资源

基于STFT和WT的SAR干扰抑制算法

局部鲁棒预处理的DME干扰抑制方法

基于最小熵准则与生成对抗网络的SAR三维转动舰船目标重聚焦方法

面向交通场景基于双注意力机制和自适应代价卷的自监督单目深度估计

强干扰下基于三阶互累积量的FMCW雷达信号DOA估计算法