一种基于角-速度流形正交补投影的多通道SAR欺骗动目标检测方法*

doi:10.7523/j.ucas.2026.036

中国科学院大学学报

一种基于角-速度流形正交补投影的多通道SAR欺骗动目标检测方法^*

李一沛^1,2, 赵福海¹, 艾占杨¹, 吕志鹏¹, 郑明洁^1†

1 中国科学院空天信息创新研究院,北京 100190;
2 中国科学院大学电子电气与通信工程学院,北京 100049

收稿日期:2026-02-13 修回日期:2026-06-08
通讯作者: ^†E-mail：zhengmj@aircas.ac.cn
基金资助:
^*民用航天预研项目(D010206)资助

A multi-channel SAR deceptive moving target detection method based on angle-velocity manifold orthogonal complement projection

LI Yipei^1,2, ZHAO Fuhai¹, AI Zhanyang¹, LYU Zhipeng¹, ZHENG Mingjie¹

1 Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, China;
2 School of Electronics, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China

Received:2026-02-13 Revised:2026-06-08

摘要/Abstract

摘要： 多通道SAR能够实现运动目标的检测,被广泛应用于军事侦查和战场监视。而先进的欺骗干扰技术给动目标检测带来严重影响,在径向速度未知的情况下,传统的分置相位中心(DPCA)方法难以实现欺骗动目标的检测。针对这一问题,本文提出一种基于角-速度流形的正交补投影方法。在采用DPCA方法对消真实静止目标的基础上,构建基于角度和速度的流形子空间,利用正交补投影的方法抑制真实动目标,实现欺骗动目标检测和干扰机方位位置估计。通过点目标仿真数据和实测背景数据验证了该方法的有效性,对真实动目标的能量抑制超过-60 dB。

关键词: 合成孔径雷达(SAR), 分置相位中心(DPCA), 正交补投影, 欺骗动目标检测

Abstract: Multi-channel synthetic aperture radar (SAR) is capable of moving target detection and is widely used in military reconnaissance and battlefield surveillance. Advanced deceptive jamming techniques, however, severely impact moving target detection. When the radial velocity is unknown, the conventional displaced phase center antenna (DPCA) method struggles to detect deceptive moving targets. To address this issue, this paper proposes an orthogonal complement projection method based on the angle-velocity manifold. After eliminating real stationary targets using DPCA, a manifold subspace parameterized by angle and velocity is constructed. The orthogonal complement projection method is then applied to suppress real moving targets, thereby enabling the detection of deceptive moving targets and the estimation of the jammer’s azimuth position. Simulations with point targets and validation using measured background data demonstrate that the proposed method achieves energy suppression of real moving targets exceeding -60 dB.

Key words: synthetic aperture radar (SAR), displaced phase-center antenna (DPCA), orthogonal complement projection, deceptive moving-target detection

中图分类号:

TN958.98

李一沛, 赵福海, 艾占杨, 吕志鹏, 郑明洁. 一种基于角-速度流形正交补投影的多通道SAR欺骗动目标检测方法^*[J]. 中国科学院大学学报, DOI: 10.7523/j.ucas.2026.036.

LI Yipei, ZHAO Fuhai, AI Zhanyang, LYU Zhipeng, ZHENG Mingjie. A multi-channel SAR deceptive moving target detection method based on angle-velocity manifold orthogonal complement projection[J]. Journal of University of Chinese Academy of Sciences, DOI: 10.7523/j.ucas.2026.036.

参考文献

[1] Cumming I G, Wong F H.Digital processing of synthetic aperture radar data: algorithms and implementation[M]. Boston: Artech House, 2005: 3-17.
[2] Sun H B, Shimada M, Xu F.Recent advances in synthetic aperture radar remote sensing systems, data processing, and applications[J]. IEEE Geoscience and Remote Sensing Letters, 2017, 14(11): 2013-2016. DOI:10.1109/LGRS.2017.2747602.
[3] 郑明洁. 合成孔径雷达动目标检测和成像研究[D]. 北京: 中国科学院研究生院(电子学研究所), 2003.
[4] 郑慧敏, 郑明洁, 张振宁, 等. 基于低秩和一维稀疏矩阵分解的多通道SAR-GMTI方法[J]. 中国科学院大学学报, 2022, 39(2): 208-216. DOI:10.7523/j.ucas.2020.0003.
[5] 肖垚, 刘畅. 基于稀疏求解的改进PCA方法在SAR目标识别中的应用[J]. 中国科学院大学学报, 2018, 35(1): 84-88.
[6] 向伟立, 李晓辉, 周永生, 等.一种基于多尺度特征和稀疏表示的稳健SAR目标识别方法[J]. 中国科学院大学学报, 2017, 34(1): 99-105. DOI:10.7523/j.issn.2095-6134.2017.01.013.
[7] 降佳伟, 王宏艳, 吴彦鸿. 对地面动目标检测雷达的干扰技术综述[J]. 系统工程与电子技术, 2020, 42(11): 2471-2480. DOI:10.3969/j.issn.1001-506X.2020.11.08.
[8] 孙清洋. SAR-GMTI高逼真有源欺骗干扰方法研究[D]. 上海: 上海交通大学, 2019.
[9] 李伟, 梁甸农, 董臻. 基于欺骗式动目标的SAR干扰技术研究[J]. 遥感学报, 2006, 10(1): 71-75.
[10] 吴晓芳. SAR-GMTI运动调制干扰技术研究[D]. 长沙: 国防科学技术大学, 2009.
[11] 吴晓芳, 王雪松, 梁景修. SAR-GMTI高逼真匀速运动假目标调制干扰方法[J]. 宇航学报, 2012, 33(10): 1472-1479. DOI:10.3873/j.issn.1000-1328.2012.10.016.
[12] 吴晓芳, 梁景修, 王雪松, 等. SAR-GMTI匀加速运动假目标有源调制干扰方法[J]. 宇航学报, 2012, 33(6): 761-768. DOI:10.3873/j.issn.1000-1328.2012.06.011.
[13] 林晓烘, 薛国义, 刘培国. SAR-GMTI匀速运动虚假场景干扰信号快速生成方法[J]. 国防科技大学学报, 2013, 35(6): 82-87.
[14] 李荣锋, 王永良, 万山虎. 主瓣干扰下自适应方向图保形方法的研究[J]. 现代雷达, 2002,24(3): 50-53. DOI:10.16592/j.cnki.1004-7859.2002.03.015.
[15] Zeng Z, Tian H, Zhao T, et al.A two-dimensional mixed baseline method for countering deceptive jamming based on multi-channel SAR[J]. Procedia Computer Science, 2021, 187: 383-389. DOI:10.1016/j.procs.2021.04.076.
[16] Ji P H, Xing S Q.An anti-jamming method against SAR stationary deceptive targets based on DPCA processing[C]//2019 IEEE 4th International Conference on Signal and Image Processing (ICSIP). Wuxi, China. IEEE, 2019: 264-268. DOI:10.1109/SIPROCESS.2019.8868613.
[17] 张双喜, 孙光才, 刘艳阳, 等. 基于四通道SAR欺骗式干扰抑制算法[J]. 现代雷达, 2011, 33(2): 22-26.DOI:10.16592/j.cnki.1004-7859.2011.02.010.
[18] 王跃飞, 董祺, 毛新华. 基于空时滤波的多通道SAR抗欺骗干扰算法[J]. 雷达科学与技术, 2023, 21(2): 165-174.DOI:10.3969/j.issn.1672-2337.2023.02.007.
[19] Ji P H, Xing S Q, Dai D H, et al.Deceptive targets generation simulation against multichannel SAR[J]. Electronics, 2020, 9(4): 597. DOI:10.3390/electronics9040597.
[20] Luo C Y, Zhang F T, Fu Y W, et al.Multichannel SAR moving-target detection based on HPD manifold in heterogeneous clutter[J]. IEEE Transactions on Geoscience and Remote Sensing, 2025, 63: 5216119. DOI:10.1109/TGRS.2025.3585922.