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

• 学术论文 • 上一篇    下一篇

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   

  1. 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 发布日期: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   

  1. 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

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

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