基于最小二乘估计的InISAR空间目标三维成像方法

毕严先; 魏少明; 王俊; 毛士艺

doi:10.11999/JEIT151000

基于最小二乘估计的InISAR空间目标三维成像方法

doi: 10.11999/JEIT151000

基金项目:

国家自然科学基金(61171122, 61201318, 61501011, 61501012)

计量
- 文章访问数: 1394
- HTML全文浏览量: 119
- PDF下载量: 561
- 被引次数: 0
出版历程
- 收稿日期: 2015-09-08
- 修回日期: 2016-02-25
- 刊出日期: 2016-05-19

Interferometric ISAR Imaging for 3-D Geometry of Uniformly Rotating Targets Based on Least Squares Estimation Method

Funds:

The National Natural Science Foundation of China (61171122, 61201318, 61501011, 61501012)

摘要

摘要: InISAR系统能够在短观测时间内实现对目标的3维成像，在目标识别和分类中有广泛应用。但是ISAR成像平面不仅取决于目标相对雷达的空间位置，还和目标的运动情况有关。针对空间平稳运动目标，该文利用互相垂直的L型基线构成双通道InISAR系统，对各天线接收到的回波分别采用各自的参考距离进行聚焦处理，采用传统的距离-多普勒算法得到目标散射点2维像，通过提取各散射点的干涉相位和多普勒信息，采用最小二乘方法对目标的有效转动角速度大小和方向进行估计，进而估计出散射点的3维位置，实现目标3维成像。仿真实验验证了所提方法的有效性和鲁棒性。
- 干涉逆合成孔径雷达 /
- 平稳运动目标 /
- 3维成像 /
- 最小二乘估计 /
- 角速度估计
Abstract: Interferometric Inverse Synthetic Aperture Radar (InISAR) images are widely used for 3-D reconstruction of maneuvering targets in a short observation time. InISAR system is always used for target classification and recognition. Nevertheless, the image plane depends on the targets own motions and its relative position with respect to the radar. To overcome this problem, this paper proposes an InISAR system containing two baseline perpendicular to each other. The echo signal received by each antenna is focused by the respective reference range. The target angular velocity and Euler angle are estimated by using the interferometric phase with the least square method. Then, the scatterers 3-D coordinates are estimated. Simulation experiments show the effectiveness and robustness of the proposed method.
- Interferometric Inverse SAR (InISAR) /
- Maneuvering targets /
- 3D imaging /
- Least Squares Estimation (LSE) /
- Rotation angle velocity estimation

HTML全文

参考文献(24)

MARTORELLA M, STAGLIANO D, SALVETTI F, et al. 3D interferometric ISAR imaging of noncooperative targets[J]. IEEE Transactions on Aerospace and Electronic Systems, 2014, 55(4): 379-383. doi: 10.1109/TAES.2014. 130210.

张颖康, 肖扬, 胡绍海. 非合作雷达目标散射中心关联和三维重建算法[J]. 电子与信息学报, 2011, 33(9): 2076-2082. doi: 10.3724/SP.J.1146.2010.01449.

ZHANG Yingkang, XIAO Yang, and HU Shaohai. Method of scattering centers association and 3D reconstruction for non-cooperative radar target[J]. Journal of Electronics Information Technology, 2011, 33(9): 2076-2082. doi: 10.3724/SP.J.1146.2010.01449.

梁必帅, 张群, 娄昊, 等. 基于微动特征关联的空间自旋目标宽带雷达三维成像[J]. 电子与信息学报, 2013, 35(9): 2133-2140. doi: 10.3724/SP.J.1146.2012.01537.

LIANG Bishuai, ZHANG Qun, LOU Hao, et al. Three-dimensional broadband radar imaging of space spinning targets based on micro-motion parameter correlation[J]. Journal of Electronics Information Technology, 2013, 35(9): 2133-2140. doi: 10.3724/SP.J.1146. 2012.01537.

梁必帅, 张群, 娄昊, 等. 基于微动特征关联的空间非对称自旋目标雷达三维成像方法[J]. 电子与信息学报, 2014, 36(6): 1381-1388. doi: 10.3724/SP.J.1146.2013.01147.

LIANG Bishuai, ZHANG Qun, Lou Hao, et al. Method of three-dimensional imaging based on micro-motion feature association for spatial asymmetrical spinning targets[J]. Journal of Electronics Information Technology, 2014, 36(6): 1381-1388. doi: 10.3724/SP.J.1146.2013.01147.

王昕, 郭宝锋, 尚朝轩. 基于二维ISAR图像序列的雷达目标三维重建方法[J]. 电子与信息学报, 2013, 35(10): 2475-2480. doi: 10.3724/SP.J.1146.2013.00140.

WANG Xin, GUO Baofeng, and SHANG Chaoxuan. 3D reconstruction of target geometry based on 2D data of inverse synthetic aperture radar images[J]. Journal of Electronics Information Technology, 2013, 35(10): 2475-2480. doi: 10.3724/SP.J.1146.2013.00140.

王俊, 文亚亚, 禹娟. 一种基于运动目标ISAR像序列的三维重构方法[J]. 系统仿真学报, 2013, 35(4): 809-816.

WANG Jun, WEN Yaya, and YU Juan. Three dimensional reconstruction method for moving target from ISAR sequences[J]. Journal of System Simulation, 2013, 25(4): 809-816.

MORITA T and KANADE T. A sequential factorization method for recovering shape and motion from image streams[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1997, 9(8): 858-867. doi: 10.1109/ 34.608289.

WANG Genyuan, XIA Xianggen, and CHEN Victor C. Three-dimensional ISAR imaging of maneuvering targets using three receivers[J]. IEEE Transactions on Image Processing, 2001, 10(3): 436-447. doi: 10.1109/83.908519.

ZHAO Lizhi, GAO Meiguo, MARTORELLA M, et al. Bistatic three-dimensional interferometric ISAR image reconstruction[J]. IEEE Transactions on Aerospace and Electronic Systems, 2015, 51(2): 951-961. doi: 10.1109/TAES. 2014.130702.

WEI Qiu, MARTORELLA M, ZHOU Jianxiong, et al. Three-dimensional inverse synthetic aperture radar imaging based on compressive sensing[J]. IET Radar, Sonar Navigation, 2015, 9(4): 411-420. doi: 10.1049/iet-rsn. 2014.0260.

张榆红, 邢孟道, 徐刚. 基于稀疏孔径的联合稀疏约束干涉ISAR机动目标三维成像[J]. 电子与信息学报, 2015, 37(9): 2151-2157. doi: 10.11999/JEIT150125.

ZHANG Yuhong, XING Mengdao, and XU Gang. Joint sparsity constraint interferometric ISAR imaging for 3-D geometry of maneuvering targets with sparse apertures[J]. Journal of Electronics Information Technology, 2015, 37(9): 2151-2157. doi: 10.11999/JEIT150125.

MARTORELLA M, SALVETTI F, and STAGLIANO D. 3D target reconstruction by means of 2D-ISAR imaging and interferometry[C]. Radar Conference, Ottawa, 2013: 1-6. doi: 10.1109/RADAR.2013.6586064.

LIU C L, HE F, GAO X Z, et al. Squint-mode InISAR imaging based on nonlinear least square and coordinates transform[J]. Science China Technological Sciences, 2011, 54(12): 3332-3340. doi: 10.1007/s11431-011-4515-9.

保铮, 邢孟道, 王彤. 雷达成像技术[M]. 北京: 电子工业出版社, 2005: 24-30.

BAO Zheng, XING Mengdao, and WANG Tong. Radar Imaging Technology[M]. Beijing, Publishing House of Electronics Industry, 2005: 24-30.

刘承兰, 高勋章, 贺峰, 等. 一种基于相位校正的InISAR图像配准新方法[J]. 国防科技大学学报, 2011, 33(5): 116-122.

LIU Chenglan, GAO Xunzhang, HE Feng, et al. A novel method for Image registration in InISAR imaging based on phase correction[J]. Journal of National University of Defense Technology, 2011, 33(5): 116-122.

ZHANG Qun and YEO T S. Three-dimensional SAR imaging of a ground moving target using the InISAR technique[J]. IEEE Transactions on Geoscience and Remote Sensing, 2004, 42(9): 1818-1828. doi: 10.1109/TGRS.2004.831863.

施引文献

资源附件(0)

访问统计