首页 | 本学科首页   官方微博 | 高级检索  
     

基于相位恢复原理的SAR振动目标成像方法
引用本文:史洪印,丁郁霏,赵欣悦,夏赛雪,田野.基于相位恢复原理的SAR振动目标成像方法[J].仪器仪表学报,2017,38(6):1531-1539.
作者姓名:史洪印  丁郁霏  赵欣悦  夏赛雪  田野
作者单位:燕山大学信息科学与工程学院秦皇岛066004,燕山大学信息科学与工程学院秦皇岛066004,燕山大学信息科学与工程学院秦皇岛066004,燕山大学信息科学与工程学院秦皇岛066004,燕山大学信息科学与工程学院秦皇岛066004
基金项目:国家自然科学基金(61571388, 61601398)、河北省自然科学基金(F2016203251)项目资助
摘    要:在SAR成像系统中,振动目标成像具有成对回波的多普勒特征,不利于振动目标的检测和识别。提出一种基于相位恢复原理的振动目标聚焦成像方法。首先基于条带式SAR成像模式建立了振动目标空间几何模型,理论推导了将相位恢复原理应用到SAR振动目标成像的可能性;然后以振动目标回波数据和支撑域信息作为过采样平滑算法(OSS)的先验信息,通过改变平滑滤波器的参数,调整滤波器的带宽,以减少支撑域外部信息对振动目标的干扰,同时通过减少支撑域,提高迭代算法的收敛性,消除振动目标成对回波,最终得到聚焦的高分辨率振动目标图像。仿真和实验结果证明所提方法的有效性。

关 键 词:合成孔径雷达  相位恢复原理  过采样平滑算法  振动目标成像

SAR vibrating target imaging method based on phase retrieval principle
Shi Hongyin,Ding Yufei,Zhao Xinyue,Xia Saixue and Tian Ye.SAR vibrating target imaging method based on phase retrieval principle[J].Chinese Journal of Scientific Instrument,2017,38(6):1531-1539.
Authors:Shi Hongyin  Ding Yufei  Zhao Xinyue  Xia Saixue and Tian Ye
Affiliation:School of Information Science and Engineering, Yanshan University, Qinhuangdao 066004, China,School of Information Science and Engineering, Yanshan University, Qinhuangdao 066004, China,School of Information Science and Engineering, Yanshan University, Qinhuangdao 066004, China,School of Information Science and Engineering, Yanshan University, Qinhuangdao 066004, China and School of Information Science and Engineering, Yanshan University, Qinhuangdao 066004, China
Abstract:In synthetic aperture radar (SAR) imaging system, vibrating target imaging possesses the Doppler characteristics of paired echoes, which is not conducive to the detection and identification of vibrating targets. A vibrating target imaging method based on phase retrieval principle is proposed in this paper. Firstly, according to the strip map SAR imaging mode, the geometric model of vibrating target is established, and the possibility of applying the phase retrieval principle to the SAR vibrating target imaging is deduced theoretically. Then, taking the echo data of SAR vibrating target and support domain information as the prior information of the oversampling smoothing (OSS) iterative algorithm. through changing the parameters of the smoothing filter to adjust the filter bandwidth, the interference of the external support domain information to the vibrating target is reduced, At the same time, through reducing the size of the support domain, improve the convergence of the iterative algorithm and eliminate paired echoes of vibrating target, finally the focused high resolution image of the vibrating target is obtained. The simulation experiment results prove the effectiveness of the proposed method.
Keywords:
本文献已被 CNKI 等数据库收录!
点击此处可从《仪器仪表学报》浏览原始摘要信息
点击此处可从《仪器仪表学报》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号