用于线阵三维SAR成像的二维快速ESPRIT算法

赵逸超; 朱宇涛; 粟毅; 杨猛

doi:10.12000/JR15065

用于线阵三维SAR成像的二维快速ESPRIT算法

DOI: 10.12000/JR15065

(国防科学技术大学电子科学与工程学院长沙 410073)

基金项目:

中国博士后科学基金(2014M562647)

详细信息

作者简介:
赵逸超(1990-),男,陕西汉中人。2013年在浙江大学获得学士学位。现为国防科技大学硕士研究生,研究方向为线阵三维SAR超分辨成像技术。E-mail:zhaoyichao1212@163.com朱宇涛,男,现为国防科技大学博士后,主要研究方向为阵列设计、遥感信息处理。E-mail:zhu_yu_tao@126.com粟毅,男,现为国防科技大学教授,博士生导师,主要研究方向为信号处理、雷达系统、遥感信息处理。E-mail:yi.su@yeah.net

通讯作者:
赵逸超zhaoyichao1212@163.com

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出版历程
- 收稿日期: 2015-05-27
- 修回日期: 2015-09-22
- 网络出版日期: 2015-10-28

Two-dimensional Fast ESPRIT Algorithm for Linear Array SAR Imaging

(School of Electronic Science and Engineering, National University of Defense Technology, Changsha 410073, China)

Funds:

China Postdoctoral Science Foundation (2014M562647)

摘要

摘要: 线阵3维SAR系统可实现对地面场景的3维成像,是近年来研究的热点。但受载机平台和硬件条件的限制,其切航迹向和沿航迹向的分辨率难以提高。为了改善2维分辨率,该文提出了一种用于线阵3维SAR成像的2维快速ESPRIT算法,首先结合盖式圆方法和ESPRIT算法估计出点目标在切航迹向和沿航迹向位置,并通过该文改进的基于区域生长的2维位置配对方法替代最小二乘法快速求得目标散射系数,实现线阵2维SAR切航迹向和沿航迹向超分辨成像。该算法具有分辨精度高、运算速度快、实时性能好等优点。仿真实验证明了其有效性。
- 线阵3维SAR /
- ESPRIT算法 /
- 超分辨 /
- 成像 /
- 区域生长
Abstract: The linear array Synthetic Aperture Radar (SAR) system is a popular research tool, because it can realize three-dimensional imaging. However, owning to limitations of the aircraft platform and actual conditions, resolution improvement is difficult in cross-track and along-track directions. In this study, a twodimensional fast Estimation of Signal Parameters by Rotational Invariance Technique (ESPRIT) algorithm for linear array SAR imaging is proposed to overcome these limitations. This approach combines the Gerschgorin disks method and the ESPRIT algorithm to estimate the positions of scatterers in cross and along-rack directions. Moreover, the reflectivity of scatterers is obtained by a modified pairing method based on region growing, replacing the least-squares method. The simulation results demonstrate the applicability of the algorithm with high resolution, quick calculation, and good real-time response.
- Linear Array SAR (LASAR) /
- Estimation of Signal Parameters by Rotational Invariance Technique(ESPRIT) algorithm /
- Superresulotion /
- Imaging /
- Region growing

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参考文献(18)

[1]	王斌, 王彦平, 洪文, 等. 线阵SAR三维成像分辨率分析[J]. 计算机仿真, 2011, 28(3): 282-286. Wang Bin, Wang Yan-ping, Hong Wen, et al.. Analysis of resolution for SAR 3D imaging using linear array antennas[J]. Computer Simulation, 2011, 28(3): 282-286.
[2]	成晨. 三维合成孔径雷达超分辨成像方法研究[D]. [硕士论文], 电子科技大学, 2012. Cheng Chen. 3D SAR superresolution imaging algorithms[D]. [Master dissertation], University of Electronic Science and Technology of China, 2012.
[3]	Colin Haley. Talk about ESPRIT[J]. Electronic and Power, 1986, 32(5): 377-380.
[4]	Zhang Ping, Li Zhen, and Chen Quan. 2D UESPRIT superresolution SAR imaging algorithm[C]. Geoscience and Remote Sensing Symposium, Honolulu, 2010: 4067-4070.
[5]	冯德军, 王雪松, 陈志杰, 等. 酉ESPRIT超分辨ISAR成像方法[J]. 电子学报, 2005, 33(12): 2097-2100. Feng De-jun, Wang Xue-song, Chen Zhi-jie, et al.. Super-resolution ISAR imaging using unitary ESPRIT[J]. Acta Electronica Sinica, 2005, 33(12): 2097-2100.
[6]	焦芸, 田野, 宿富林. 基于一种二维ESPRIT算法的ISAR超分辨成像[J]. 哈尔滨师范大学自然科学学报, 2005, 21(4): 35-38. Jiao Yun, Tian Ye, and Su Fu-lin. ISAR super-resolution imaging based on a 2-D ESPRIT algorithm[J]. Natural Science Journal of Harbin Normal University, 2015, 21(4): 35-38.
[7]	张平, 商建, 杨汝良. 一种有效的二维MUSIC超分辨SAR成像算法[J]. 系统仿真学报, 2010, 22(1): 184-187. Zhang Ping, Shang Jian, and Yang Ru-liang. Efficient 2D MUSIC superresolution SAR imaging method[J]. Journal of System Simulation, 2010, 22(1): 184-187.
[8]	张小飞, 汪飞, 徐大专. 阵列信号处理的理论和应用[M]. 北京: 国防工业出版社, 2010: 31-33. Zhang Xiao-fei, Wang Fei, and Xu Da-zhuan. The Theory and Application of Array Signal Processing[M]. Beijing: National Defense Industry Press, 2010: 31-33.
[9]	朱宇涛. 多通道ISAR成像技术研究[D]. [博士论文], 国防科学技术大学, 2011. Zhu Yu-tao. Multiple-channel ISAR imaging[D]. [Ph.D. dissertation], National University of Defense Technology, 2011.
[10]	于春艳, 谢亚楠, 赵海兰, 等. 基于新型阵列配置的机载MIMO-SAR下视三维成像性能研究[J]. 电子测量技术, 2014, 37(2): 64-69. Yu Chun-yan, Xie Ya-nan, Zhao Hai-lan, et al.. Airborne downward-looking MIMO 3D-SAR imaging properties based on the new array configuration[J]. Electronic Measurement Technology, 2014, 37(2): 64-69.
[11]	Wang Wei, Wu Wei-hua, Su Wu-ge, et al.. High squint mode SAR imaging using modified RD algorithm[C]. 2013 IEEE China Summit International Conference on Signal and Information Processing (ChinaSIP), Beijing, 2013: 589-592.
[12]	Hu An-zhong, Lv Tie-jun, Gao Hui, et al.. An ESPRIT-based approach for 2-D localization of incoherently distributed sources in massive MIMO systems[J]. IEEE Journal of Selected Topics in Signal Processing, 2014, 8(5): 996-1011.
[13]	Li Jian-feng and Zhang Xiao-fei. Unitary reduced-dimensional estimation of signal parameters via rotational invariance techniques for angle estimation in monostatic multiple-input-multiple-output radar with rectangular arrays[J]. IET Radar, Sonar and Navigation, 2013, 8(6): 575-584.
[14]	Ahmed A, Khan M F, and Tufail M. Multiple Invariance Cumulant ESPRIT for DOA Estimation[C]. 2014 International Conference on Robotics and Emerging Allied Technologies Engineering, Pakistan, 2014: 157-159.
[15]	Fayad Y, Wang Cai-yun, Hafez A E D S, et al.. Direction of arrival estimation using novel ESPRIT method for localization and tracking radar systems[C]. Proceedings of 2014 11th International Bhurban Conference on Applied Sciences Technology (IBCAST), Islamabad, Pakistan, 2014: 396-398.
[16]	张东浩. 线阵三维SAR成像算法研究及仿真[D]. [硕士论文], 电子科技大学, 2010. Zhang Dong-hao. Analysis and simulation of LASAR imaging[D]. [Master dissertation], University of Electronic Science and Technology of China, 2010.
[17]	Qu Le-le, Sun Qiang, Yang Tian-hong, et al.. Time-delay estimation for ground penetrating radar using ESPRIT with improved spatial smoothing technique[J]. IEEE Geoscience and Remote Sensing Letters, 2013, 11(8): 1315-1319.
[18]	Puneet Jain. An adaptive single seed based region growing algorithm for color image segmentation[C]. India Conference (INDICON), Mumbai, 2013: 1-6.