基于双频联合处理的太赫兹InISAR成像方法

蒋彦雯; 邓彬; 王宏强; 秦玉亮; 庄钊文

doi:10.12000/JR17109

基于双频联合处理的太赫兹InISAR成像方法

doi: 10.12000/JR17109

国防科技大学电子科学学院长沙 410073

基金项目: 国家自然科学基金(61701513, 61571011)

详细信息

作者简介:
蒋彦雯，女，国防科技大学电子科学学院博士生，从事太赫兹雷达成像、太赫兹雷达信号处理研究。E-mail: j1991yuwen@163.com

邓　彬，男，国防科技大学电子科学学院副研究员，从事合成孔径雷达、太赫兹雷达成像等研究。E-mail: dengbin_nudt@163.com

王宏强，男，国防科技大学电子科学学院研究员，973技术首席，原863太赫兹专家，中国兵工学会太赫兹应用技术专业委员会委员，从事太赫兹雷达、雷达信号处理和自动目标识别等研究。E-mail: oliverwhq@tom.com

秦玉亮，男，国防科技大学电子科学学院副研究员，主要从事太赫兹雷达、雷达关联成像和电磁涡旋方面研究。E-mail: qinyuliang@nudt.edu.cn

庄钊文，男，国防科技大学教授，主要从事目标识别方面研究

通讯作者:
邓彬 dengbin_nudt@163.com

中图分类号: TN95
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出版历程
- 收稿日期: 2017-11-06
- 修回日期: 2018-01-29
- 网络出版日期: 2018-02-28

Improved Terahertz InISAR Imaging Method Based on Joint Processing of Dual-frequency Data

College of Electronic Science and Engineering, National University of Defense Technology, Changsha 410073, China

Funds: The National Natural Science Foundation of China (61701513, 61571011)

摘要

摘要: 为提高太赫兹InISAR成像精度，该文提出了一种基于双频联合处理的成像方法。将雷达回波信号在快时间域分为两部分，分别按传统InISAR方法进行成像，再对两部分的成像结果进行比较分析，去除冗余点和坏点，得到最终的InISAR成像结果。针对飞机的散射点模型，给出了双频联合处理方法的InISAR成像结果，并仿真分析成像结果的均方根误差，结果表明，相比于传统InISAR成像方法，基于双频联合处理的InISAR成像方法在不同信噪比条件下均能有效提升成像精度。
- 太赫兹雷达 /
- 干涉逆合成孔径雷达 /
- 双频 /
- 均方根误差 /
- 信噪比
Abstract: To improve the imaging accuracy of Interferometry Inverse Synthetic Aperture Radar (InISAR), in this paper, we propose a novel method based on the joint processing of dual-frequency data. First, we divide the radar echo into two parts in the fast-time domain, then we apply the conventional InISAR method to each dataset. By comparing and analyzing the imaging results of the two parts, we can identify and remove redundant and bad pixels. Using the proposed joint processing method, we obtained the InISAR imaging results of a scatter model of an airplane and calculated the Root Mean Square Error (RMSE). The simulation results show that the proposed method can effectively improve imaging accuracy with different Signal-to-Noise Ratio (SNR).
- Terahertz radar /
- Interferometry Inverse Synthetic Aperture Radar (InISAR) /
- Dual-frequency /
- Root Mean Square Error (RMSE) /
- Signal-to-Noise Ratios (SNR)

HTML全文

图 1 L型天线InISAR成像系统

Figure 1. InISAR imaging geometry with L-antennas

下载: 全尺寸图片幻灯片

图 3 飞机3维散射中心模型

Figure 3. The 3D scatter model of airplane

下载: 全尺寸图片幻灯片

图 2 基于双频联合处理的太赫兹InISAR成像方法

Figure 2. The InISAR imaging method based on the joint processing of dual-frequency data

下载: 全尺寸图片幻灯片

图 4 基于双频联合处理的InISAR 3维成像结果

Figure 4. The 3D InISAR imaging result based on the joint processing of dual-frequency data

下载: 全尺寸图片幻灯片

图 5 传统InISAR 3维成像结果

Figure 5. The 3D InISAR imaging result based on the conventional method

下载: 全尺寸图片幻灯片

图 6 本文方法与传统方法成像误差比较结果

Figure 6. The error comparison between the proposed method and the conventional method

下载: 全尺寸图片幻灯片

表 1 成像仿真参数

Table 1. The main parameters of the imaging simulation

参数	数值
干涉基线长度	1 m
中心频率	330 GHz
带宽	20 GHz
PRF	2 kHz
脉宽	400 μs
采样率	30 MHz
成像积累时长	0.6 s
目标运动速度	(300 m/s, 0, 0)
目标初始位置坐标	(0, 50 km, 10 km)

下载: 导出CSV

参考文献(20)

[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 Meng-dao, and Wang Tong. Technology of Radar Imaging[M]. Beijing: Publishing House of Electronics Industry, 2005.
[2]	Zhang X P, Liao G S, Zhu S Q, et al.. An unambiguous radial velocity estimation method based on interferometric phase in range frequency domain[C]. Proceedings of the 14th International Radar Symposium (IRS), Dresden, Germany, 2013, 1: 543–548.
[3]	毕严先, 魏少明, 王俊, 等. 基于最小二乘估计的InISAR空间目标三维成像方法[J]. 电子与信息学报, 2016, 38(5): 1079–1084. DOI: 10.11999/JEIT151000 Bi Yan-xian, Wei Shao-ming, Wang Jun, et al. Interferometric ISAR imaging for 3-D geometry of uniformly rotating targets based on least squares estimation method[J]. Journal of Electronics&Information Technology, 2016, 38(5): 1079–1084. DOI: 10.11999/JEIT151000
[4]	Wu W Z, Hu P H, Xu S Y, et al. Image registration for InISAR based on joint translational motion compensation[J]. IET Radar,Sonar&Navigation, 2017, 11(10): 1597–1603.
[5]	Ma M, Li D J, Du J B, et al.. Signal processing of InISAR with Long orthogonal baselines for air target three-dimensional localization[C]. Proceedings of EUSAR 2016: 11th European Conference on Synthetic Aperture Radar, Hamburg, Germany, 2016: 1–4.
[6]	牧凯军, 张振伟, 张存林. 太赫兹科学与技术[J]. 中国电子科学研究院学报, 2009, 4(3): 221–230, 237 Mu Kai-jun, Zhang Zhen-wei, and Zhang Cun-lin. Terahertz science and technology[J]. Journal of China Academy of Electronics and Information Technology, 2009, 4(3): 221–230, 237
[7]	Siegel P H. Terahertz technology[J]. IEEE Transactions on Microwave Theory and Techniques, 2002, 50(3): 910–928. DOI: 10.1109/22.989974
[8]	Siegel P H. THz for space: The golden age[C]. Proceedings of IEEE MTT-S International Microwave Symposium Digest (MTT), Anaheim, CA, USA, 2010: 816–819.
[9]	Deng Bin, Chen Shuo, Luo Chneg-gao, et al. Review of terahertz coded-aperture imaging[J]. Journal of Infrared and Millimeter Waves, 2017, 36(3): 302–310.
[10]	Jiang Y W, Deng B, Wang H Q, et al. An effective nonlinear phase compensation method for FMCW terahertz radar[J]. IEEE Photonics Technology Letters, 2016, 28(15): 1684–1687. DOI: 10.1109/LPT.2016.2558462
[11]	Li D J, Ma M, Du J B, et al.. Moving target imaging detection for millimeter-wave InISAR[C]. Proceedings of EUSAR 2016: 11th European Conference on Synthetic Aperture Radar, Hamburg, Germany, 2016: 286–289.
[12]	刘承兰, 高勋章, 黎湘. 干涉式逆合成孔径雷达成像技术综述[J]. 信号处理, 2011, 27(5): 737–748 Liu Cheng-lan, Gao Xun-zhang, and Li Xiang. Review of interferometric ISAR imaging[J]. Signal Processing, 2011, 27(5): 737–748
[13]	Zhang Q 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
[14]	Wang Y and Li X L. Three-dimensional interferometric ISAR imaging for the ship target under the Bi-static configuration[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2016, 9(4): 1505–1520. DOI: 10.1109/JSTARS.2015.2513774
[15]	马萌, 李道京, 李烈辰, 等. 正交长基线毫米波InISAR运动目标三维成像[J]. 红外与毫米波学报, 2016, 35(4): 488–495. DOI: 10.11972/j.issn.1001-9014.2016.04.018 Ma Meng, Li Dao-jing, Li Lie-chen, et al. 3-D imaging for moving targets based on millimeter-wave InISAR with long orthogonal baselines[J]. Journal of Infrared and Millimeter Waves, 2016, 35(4): 488–495. DOI: 10.11972/j.issn.1001-9014.2016.04.018
[16]	Xu G, Xing M D, Xia X G, et al. 3D geometry and motion estimations of maneuvering targets for interferometric ISAR with sparse aperture[J]. IEEE Transactions on Image Processing, 2016, 25(5): 2005–2020. DOI: 10.1109/TIP.2016.2535362
[17]	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 Cheng-lan, Gao Xun-zhang, 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
[18]	张冬晨. InISAR三维成像的关键技术研究[D]. [博士论文], 中国科学技术大学, 2009. Zhang Dong-chen. Research on the key techniques of interferometric inverse synthetic aperture radar imaging[D]. [Ph.D. dissertation], University of Science and Technology of China, 2009.
[19]	刘承兰. 干涉逆合成孔径雷达(InISAR)三维成像技术研究[D]. [博士论文], 国防科学技术大学, 2012. Liu Cheng-lan. Research on interferometric inverse synthetic aperture radar three-dimensional imaging[D]. [Ph. D. dissertation], National University of Defense Technology, 2012.
[20]	Richards M A. 邢孟道, 王彤, 李真芳, 等译. 雷达信号处理基础[M]. 北京: 电子工业出版社, 2010. Richards M A. Xing Meng-dao, Wang Tong, Li Zhen-fang, et al Translation. Fundamentals of Radar Signal Processing[M]. Beijing: Publishing House of Electronics Industry, 2010.