多特征辅助的SAR-GMTI雷达扩展动目标检测方法

doi:10.3969/j.issn.0372-2112.2016.12.015

电子学报 ›› 2016, Vol. 44 ›› Issue (12): 2916-2923.DOI: 10.3969/j.issn.0372-2112.2016.12.015

多特征辅助的SAR-GMTI雷达扩展动目标检测方法

杨志伟, 张蕊, 许华健, 廖桂生, 杨剑

西安电子科技大学雷达信号处理重点实验室, 陕西西安 710071

收稿日期:2015-05-12 修回日期:2015-12-09 出版日期:2016-12-25
- 作者简介:
- 杨志伟,男,1980年出生于四川省南充市.现为西安电子科技大学雷达信号处理重点实验室副教授,博士生导师.从事多维阵列自适应抗干扰和动目标侦察、监视与预警技术研究.近五年,在"十二五"航天背景预研,航空高分辨率对地观察专项,国家自然科学基金重点项目,"军863"项目等持续资助下,为提升对地监视能力提供了处理核心技术,发表学术论文80余篇,国家发明专利授权9项,获得军队科技进步三等奖1项.E-mail:yangzw@xidian.edu.cn;张蕊,女,1990年生于江苏徐州市,西安电子科技大学硕士研究生,研究方向为运动平台雷达动目标检测.E-mail:cheerone@sina.com;许华健,男,1990年生于福建政和县,西安电子科技大学博士研究生,研究方向为运动平台雷达动目标检测、空时自适应处理.E-mail:huajianxu@stu.xidian.edu.cn;廖桂生,男,1963年生于广西桂林市.现为西安电子科技大学雷达信号处理重点实验室教授,博士生导师,现主要从事雷达探测系统信号处理、包括空时自适应处理,天基预警和阵列信号处理等研究领域.E-mail:gsliao@xidian.edu.cn
- 基金资助:
- 国家自然科学基金 (No.61501471）; 国防预研基金 (No.9140xxx005）

A Multi-features-Aided Method for Extended Target Detection of SAR-GMTI

YANG Zhi-wei, ZHANG Rui, XU Hua-jian, LIAO Gui-sheng, YANG Jian

National Laboratory of Radar Signal Processing, Xidian University, Xi'an, Shaanxi 710071, China

Received:2015-05-12 Revised:2015-12-09 Online:2016-12-25 Published:2016-12-25
- Supported by:
- National Natural Science Foundation of China (No.61501471); National Defense Pre-research Foundation of China (No.9140xxx005)

摘要/Abstract

摘要：

在远程监视模式下，高分辨率SAR-GMTI雷达系统面临目标扩散、信噪比低等挑战，传统基于点目标检测方法性能恶化明显.本文提出一种目标形状与阴影辅助的高分辨率SAR-GMTI雷达扩展动目标检测方法.该方法首先对杂波抑制后的残差图聚类并生成目标形状信息；然后依据目标阴影形成的几何模型计算与目标形状相匹配的阴影模板，并利用目标径向速度估计值生成阴影位置匹配条件；最后综合利用阴影形状、位置及幅度信息，剔除不符合匹配条件的虚假目标，降低虚警.仿真验证了所提方法对低信噪比扩展目标检测性能的改善.

关键词: 合成孔径雷达, 地面运动目标检测, 扩展目标, 目标形状与阴影辅助, 模板匹配

Abstract:

This paper deals with the target-detection issue that a high-resolution synthetic aperture radar (SAR)-ground moving target indication (GMTI) system under remote surveillance mode faces many challenges,i.e.,target-diffusing and low signal-to-noise ratio,and based on the fact that extended targets with conventional target detection methods based on the poin target cause decrease in detection performance,a Shape-Shadow-Aided Moving Target Detector(S²A-MTD) is proposed for extended target detection of airborne multichannel SAR-GMTI.First,the shaped information of a target is obtained when the residual image with adaptive clutter suppression clustered.Then,shadow-template matched with shaped information of a target is evaluated,which is based on the model of the geometric relationship on a moving extended target and its shadow.Meanwhile,according to estimative radial velocity,position-matched condition with shadow is generated.Finally,taking all the information in shape,position and amplitude of shadow into consideration is to eliminate false targets that not satisfy with matching conditions,so as to reduce false alarms.the simulation results show the validity that this method improves the detection performance of the extended target under low signal-to-noise ratio.

Key words: synthetic aperture radar (SAR), ground moving target indication (GMTI), extended target, shaped-shadow-aided, template matching

中图分类号:

TN957

杨志伟, 张蕊, 许华健, 等. 多特征辅助的SAR-GMTI雷达扩展动目标检测方法[J]. 电子学报, 2016, 44(12): 2916-2923.

YANG Zhi-wei, ZHANG Rui, XU Hua-jian, et al. A Multi-features-Aided Method for Extended Target Detection of SAR-GMTI[J]. Acta Electronica Sinica, 2016, 44(12): 2916-2923.

参考文献

[1] Chen H,McGillem C D.Target motion compensation by spectrum shifting in synthetic aperture radar[J].IEEE Transactions on Aerospace and Electronic Systems,1992,28(3):895-901.
[2] Fienup J R.Detecting moving targets in SAR imagery by focusing[J].IEEE Transactions on Aerospace and Electronic Systems,2001,37(3):794-809.
[3] 李刚,朱敏慧.基于扩展小波变换的机载SAR运动目标参数估计[J].电子与信息学报,2001,23(11):1154-1161. Li Gang,Zhu Min-hui.Airborne SAR moving target parameter estimation based on extended wavelet transform[J].Journal of Electronics and Information Technology,2001,23(11):1154-1161.(in Chinese)
[4] Sun H,Liu G,Gu H,et al.Application of the fractional Fourier transform to moving target detection in airborne SAR[J].IEEE Transactions on Aerospace and Electronic Systems,2002,38(4):1416-1424.
[5] 郑明洁,杨汝良.一种改进的DPCA运动目标检测方法[J].电子学报,2004,32(9):1429-1432. Zheng Ming-jie,Yang Ru-liang.An improved DPCA moving targets detecting algorithm[J].Acta Electronica Sinica,2004,32(9):1429-1432.(in Chinese)
[6] Ender J H G.Space-Time processing for multichannel synthetic aperture radar[J].Electronics & Communication Engineering Journal,1999,11(1):29-38.
[7] Cerutti-Maori D,Sikaneta I.Optimum GMTI processing for space-based SAR/GMTI systems-theoretical derivation[A].European Conference on Synthetic Aperture Radar (EUSAR)[C].Aachen,Germany:VDE,2010.1-4.
[8] Cerutti-Maori D,Gierull C H,Ender J H G.Optimum SAR/GMTI processing and its application to the radar satellite RADARSAT-2 for traffic monitoring[J].IEEE Transactions on Geoscience and Remote Sensing,2012,50(10):3868-3881.
[9] Cerutti-Maori D,Sikaneta I.A generalization of DPCA processing for multichannel SAR/GMTI radars[J].IEEE Transactions on Geoscience and Remote Sensing,2013,51(1):560-572.
[10] Bidon S,Besson O,Tourneret J Y.Knowledge-aided STAP in heterogeneous clutter using a hierarchical bayesian algorithm[J].IEEE Transactions on Aerospace and Electronic Systems,2011,47(3):1863-1879.
[11] He Ming-dong,Cao Jian-shu.Recursive KA-STAP algorithm based on QR decomposition[A].2013 International Workshop on Microwave and Millimeter Wave Circuits and System Technology (MMWCST)[C].Chengdu:IEEE,2013.391-394.
[12] Chapin E,Chen C W.Airborne along-track interferometry for GMTI[J].IEEE Transactions on Aerospace and Electronic Systems,2009,24(5):13-18.
[13] Yin Kui-ying,Jin Lin,Zhang Chang-chun,et al.SAR automatic target recognition based on shadow contour[A].2013 Fourth International Conference on Digital Manufacturing and Automation (ICDMA)[C].Qingdao:IEEE,2013.1179-1183.
[14] Tison C,Tupin F,et al.Retrieval of building shapes from shadows in high resolution SAR interferometric images[A].Proceedings of the 2004 IEEE International Geoscience and Remote Sensing Symposium(IGARSS)[C].Alaska,USA:IEEE,2014.1788-1791.
[15] J Cui,J Gudnason,M Brookes.Radar shadow and superresolution features for automatic recognition of MSTAR targets[A].Proceeding of IEEE International Radar Conference[C].Arlington,VA:IEEE,2005.534-539.
[16] 史洪印,侯志涛,郭秀花,等.基于阴影检测的单幅高分辨SAR图像动目标检测方法[J].信号处理,2012,28(12):1706-1713. Shi Hong-yin,Hou Zhi-tao,Guo xiu-hua.Moving targets indication method in single high resolution SAR imagery based on shadow detection[J].Signal Processing,2012,28(12):1706-1713.(in Chinese)
[17] Jahangir M.Moving target detection for synthetic aperture radar via shadow detection[A].2007 IET International Conference on Radar Systems[C].Edinburgh,UK:IET,2007.1-5.
[18] 束宇翔,廖桂生,杨志伟.维纳滤波最优权修正导向矢量的SAR-GMTI动目标径向速度估计方法[J].电子学报,2011,39(9):1986-1991. Shu Yu-xiang,Liao Gui-sheng,Yang Zhi-wei.Radial velocity estimation of moving targets based on modifying the steering vector with wiener optimal weights in SAR-GMTI radar system[J].Acta Electronica Sinica,2011,39(9):1986-1991.(in Chinese)
[19] Liu Bao-chang,Yin Kui-ying,Li Yong-kang,et al.An improvement in multichannel SAR-GMTI detection in heterogeneous environments[J].IEEE Transactions on Geoscience and Remote Sensing,2015,52(2):810-827.
[20] 程鹏飞,闫浩文,韩振辉.一个求解多边形最小面积外接矩形的算法[J].工程图学学报,2008,29(1):128-132. Cheng Peng-fei,Yan Hao-wen,Han Zhen-hui.A solving minimum area bounding rectangle algorithm for a polygon[J].Journal of Engineering Graphics,2008,29(1):128-132.(in Chinese)
[21] Otsu N.A Threshold Selection Method from Gray-Level Histogram[J].IEEE Transactions on Systems Man and Cybernetics,1979,9(1):62-66.

多特征辅助的SAR-GMTI雷达扩展动目标检测方法

A Multi-features-Aided Method for Extended Target Detection of SAR-GMTI

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