Please wait a minute...
 首页  期刊介绍 期刊订阅 联系我们 横山亮次奖 百年刊庆
 
最新录用  |  预出版  |  当期目录  |  过刊浏览  |  阅读排行  |  下载排行  |  引用排行  |  横山亮次奖  |  百年刊庆
清华大学学报(自然科学版)  2015, Vol. 55 Issue (8): 860-865    
  电子工程 本期目录 | 过刊浏览 | 高级检索 |
基于Radon变换的SAR地面运动目标径向速度估计
王智睿1, 张旭东1, 许稼2
1. 清华大学 电子工程系, 北京 100084;
2. 北京理工大学 信息与电子学院, 北京 100081
Radial velocity estimation based on Radon transforms for SAR images of moving ground targets
WANG Zhirui1, ZHANG Xudong1, XU Jia2
1. Department of Electronic Engineering, Tsinghua University, Beijing 100084, China;
2. School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China
全文: PDF(1067 KB)  
输出: BibTeX | EndNote (RIS)      
摘要 合成孔径雷达(SAR)地面动目标径向速度导致的Doppler模糊和频谱分裂会严重影响对其检测和速度估计的性能。为此, 该文提出一种基于Radon变换(RT)的方法来高效准确地解决Doppler模糊和频谱分裂, 实现Doppler中心和径向速度的准确估计。该方法首先基于雷达和平台参数计算目标可能模糊数对应的距离走动倾斜角, 确定“模糊数-角度”对应关系; 进而基于实测数据计算各先验角度RT值, 搜索最大值获取模糊数。同时, 提出了Doppler频谱检测器解决频谱分裂问题, 可结合能量均衡法准确估计基带Doppler中心和目标径向速度。数值仿真试验结果证明了该方法的有效性。
服务
把本文推荐给朋友
加入引用管理器
E-mail Alert
RSS
作者相关文章
王智睿
张旭东
许稼
关键词 Doppler模糊Radon变换Doppler频谱分裂Doppler频谱检测器    
Abstract:With synthetic aperture radar (SAR), the radial velocity of a moving ground target may cause Doppler ambiguities and spectrum split, which seriously affect the detection and velocity estimates. A Radon transform (RT) based method was developed to efficiently resolve the Doppler ambiguities and spectrum split to obtain precise estimates of the Doppler centroid and radial velocity. First, the inclination angles of the range walk are determined for all possible ambiguity numbers based on the radar and platform parameters to project the ambiguity number to the inclination angle. Since the radial velocity is unknown, the RT for all prior angles are computed with the ambiguity number obtained by searching for the peak value. A Doppler spectrum detector is used to solve the spectrum split and to accurately estimate the baseband Doppler centroid using the energy balance approach. Numerical simulations demonstrate the effectiveness of this method.
Key wordsDoppler ambiguity    Radon transform    Doppler spectrum split    Doppler spectrum detector
收稿日期: 2015-01-28      出版日期: 2015-08-15
ZTFLH:  TN957.52  
通讯作者: 张旭东,教授,E-mail:zhangxd@tsinghua.edu.cn     E-mail: zhangxd@tsinghua.edu.cn
引用本文:   
王智睿, 张旭东, 许稼. 基于Radon变换的SAR地面运动目标径向速度估计[J]. 清华大学学报(自然科学版), 2015, 55(8): 860-865.
WANG Zhirui, ZHANG Xudong, XU Jia. Radial velocity estimation based on Radon transforms for SAR images of moving ground targets. Journal of Tsinghua University(Science and Technology), 2015, 55(8): 860-865.
链接本文:  
http://jst.tsinghuajournals.com/CN/  或          http://jst.tsinghuajournals.com/CN/Y2015/V55/I8/860
  图1 系统模型
  表1 求解Doppler模糊先验知识表(理论)
  表2 合成孔径雷达系统仿真参数
  表3 求解Doppler模糊先验知识表(仿真)
  图2 Doppler模糊数曲线
  图3 Doppler频谱分裂图
  图4 Doppler频谱搬移图
  图5 能量均衡法求基带Doppler中心频率
  图6 动目标聚焦图
[1] 保铮, 邢孟道, 王彤. 雷达成像技术 [M]. 北京: 电子工业出版社, 2005.BAO Zheng, XING Mengdao, WANG Tong. Radar Imaging Techneque [M]. Beijing: Publishing House of Electronics Industry, 2005. (in Chinese)
[2] ZHU Shengqi, LIAO Guisheng, QU Yi, et al. A new slant-range velocity ambiguity resolving approach of fast moving targets for SAR system [J].Geoscience and Remote Sensing, IEEE Transactions on, 2010, 48(1): 432-451.
[3] ZHANG Xuepan, LIAO Guisheng, ZHU Shengqi, et al. Geometry-information-aided efficient motion parameter estimation for moving-target imaging and location [J]. Geoscience and Remote Sensing Letters, IEEE, 2015, 12(1): 155-159.
[4] YU Mingcheng, XU Jia, PENG Yingning, et al. Joint estimation of Doppler centroid and rate for SAR with large range migration [J]. Radar, Sonar & Navigation, IET, 2007, 1(3): 207-212.
[5] WANG Junfeng, LIU Xingzhao. Velocity estimation of moving targets in SAR imaging [J]. Aerospace and Electronic Systems, IEEE Transactions on, 2014, 50(2): 1543-1549.
[6] ZHANG Xuepan, LIAO Guisheng, ZHU Shengqi, et al. Geometry-information-aided efficient radial velocity estimation for moving target imaging and location based on Radon transform [J]. Geoscience and Remote Sensing, IEEE Transactions on, 2015, 53(2): 1105-1117.
[7] ZHANG Xuepan, LIAO Guisheng, ZHU Shengqi, et al. Efficient compressed sensing method for moving-target imaging by exploiting the geometry information of the defocused results [J]. Geoscience and Remote Sensing Letters, IEEE, 2015, 12(3): 517-521.
[8] LI Gang, XIA Xiang-Gen, XU Jia, et al. A velocity estimation algorithm of moving targets using single antenna SAR [J]. Aerospace and Electronic Systems, IEEE Transactions on, 2009, 45(3): 1052-1062.
[9] Bamler R, Runge H. PRF-ambiguity resolving by wavelength diversity [J]. Geoscience and Remote Sensing, IEEE Transactions on, 1991, 29(6): 997-1003.
[10] Chang C Y, Curlander J C. Application of the multiple PRF technique to resolve Doppler centroid estimation ambiguity for spaceborne SAR [J]. Geoscience and Remote Sensing, IEEE Transactions on, 1992, 30(5): 941-949.
[11] YU Mingcheng, XU Jia, PENG Yingning. SAR PRF- ambiguity resolving by range diversity [J]. Electronics Letters, 2005, 41(22): 1246-1247.
[12] 夏斌, 许稼, 汤俊, 等. 基于多视图像序列跟踪的SAR地面运动目标检测[J]. 清华大学学报(自然科学版), 2011, 51(7):977-982.XIA Bin, XU Jia, TANG Jun, et al. Moving ground target detection based on SAR multi-look image sequence tracking [J]. J Tsinghua Univ (Sci and Tech), 2011, 51(7):977-982. (in Chinese)
[13] Wong F, Cumming I G. A combined SAR Doppler centroid estimation scheme based upon signal phase [J]. Geoscience and Remote Sensing, IEEE Transactions on, 1996, 34(3): 696-707.
[14] ZHU Shengqi, LIAO Guisheng, QU Yi, et al. Ground moving targets detection and unambiguous motion parameter estimation based on multi-channel SAR system [C]// Radar Conference, 2009 IET International. Guilin, China: IET, 2009:1-4.
[15] ZHAO Wei, ZHOU Guoqing, YUE Tao, et al. Retrieval of ocean wavelength and wave direction from SAR image based on radon transform [C]// Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International. Melbourne, VIC, Australia: IEEE Press. 2013: 1513-1516.
[16] Varma G S, Banerjee B, Muhuri A, et al. Radon transform based edge detection for SAR imagery [C]// Geoscience and Remote Sensing Symposium (IGARSS). Melbourne, VIC, Australia: IEEE Press. 2013 IEEE International. 2013: 3088-3091.
[17] XIONG Wei, ZHONG Juanjuan, ZHOU Ye. Automatic recognition of airfield runways based on Radon transform and hypothesis testing in SAR images [C]// Millimeter Waves (GSMM), 2012 5th Global Symposium on. Harbin, China: IEEE Press, 2012: 462-465.
[18] LIU Baochang, WANG Tong, BAO Zheng. Doppler ambiguity resolving in compressed azimuth time and range frequency domain [J]. Geoscience and Remote Sensing, IEEE Transactions on, 2008, 46(11): 3444-3458.
[19] Cumming I G, LI Shu. Improved slope estimation for SAR Doppler ambiguity resolution [J]. Geoscience and Remote Sensing, IEEE Transactions on, 2006, 44(3): 707-718.
[20] 左渝, 许稼, 彭应宁, 等. SAR运动目标距离Doppler域扩展混合积累检测[J]. 清华大学学报(自然科学版), 2010, 50(1):145-148.ZU Yu, XU Jia, PENG Yingning, et al. Extended hybrid integration for SAR moving target detection in range-Doppler domain [J]. J Tsinghua Univ (Sci and Tech), 2010, 50(1):145-148. (in Chinese)
[21] XU Jia, ZUO Yu, XIA Bin, et al. Ground moving target signal analysis in complex image domain for multichannel SAR [J]. Geoscience and Remote Sensing, IEEE Transactions on, 2012, 50(2):538-552.
[22] YANG Jungang, HUANG Xiaotao, JIN Tian, et al. New approach for SAR imaging of ground moving targets based on a Keystone transform [J]. Geoscience and Remote Sensing Letters, IEEE, 2013, 8(4): 829-833.
[23] LIU Yangyang, ZHOU Daiying. A novel approach for ground moving targets SAR imaging based on second order Keystone transform [J]. Computational Intelligence and Design (ISCID), 2013 Sixth International Symposium on, 2013, 2(1): 125-128.
[24] Cumming I G, Wong F. Digital Processing of Synthetic Aerture Radar Data: Algorithms and Implementation [M]. Boston, MA, USA: Artech House, 2005.
[1] 刘春, 杨健, 徐丰, 范一大. 基于水域跟踪的极化SAR图像桥梁检测[J]. 清华大学学报(自然科学版), 2017, 57(12): 1303-1309.
[2] 高伟, 殷君君, 杨健. 基于Riemann核Fisher准则的极化SAR图像人造目标检测[J]. 清华大学学报(自然科学版), 2016, 56(9): 920-924,929.
[3] 宋胜利, 杨健. 基于鲁棒主成分分析的SAR舰船检测[J]. 清华大学学报(自然科学版), 2015, 55(8): 844-848.
[4] 刘春, 殷君君, 杨健. 基于岸线特征点合并的极化SAR图像小型港口检测[J]. 清华大学学报(自然科学版), 2015, 55(8): 849-853.
[5] 杨帆, 杨健, 殷君君, 宋建社. 基于极化SAR分解模型的油膜检测[J]. 清华大学学报(自然科学版), 2015, 55(8): 854-859.
[6] 周伟, 叶春茂, 金侃, 鲁耀兵, 杨健. 雷达目标双曲线调频回波生成[J]. 清华大学学报(自然科学版), 2015, 55(8): 878-883.
[7] 李增辉, 常雯, 杨健. 基于外推陷波滤波的孤立强散射旁瓣抑制[J]. 清华大学学报(自然科学版), 2015, 55(5): 503-507.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
版权所有 © 《清华大学学报(自然科学版)》编辑部
本系统由北京玛格泰克科技发展有限公司设计开发 技术支持:support@magtech.com.cn