Two dimensional SAR moving target spectrogram compressing and reconstructing method

ZHU Feng; ZHANG Qun; GU Fu-fei; SUN Feng-lian; LI Kai-ming

Volume 27 Issue 1

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CHINESE JOURNAL OF RADIO SCIENCE > 2012 > 27(1): 157-164.

ZHU Feng, ZHANG Qun, GU Fu-fei, SUN Feng-lian, LI Kai-ming. Two dimensional SAR moving target spectrogram compressing and reconstructing method[J]. CHINESE JOURNAL OF RADIO SCIENCE, 2012, 27(1): 157-164.

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Two dimensional SAR moving target spectrogram compressing and reconstructing method

Telecommunication Engineering Institute, Air Force Engineering university, Xi'an Shaanxi 710077, China

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Received Date: March 10, 2011
Available Online: December 30, 2020
Published Date: February 29, 2012

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Abstract

Abstract

After cancellation processing of echoed data from two channels of SAR, a novel method based on compressed sensing is proposed, which implements two dimensional compressing and reconstructing for moving target spectrogram in SAR imaging. The two dimensional measurement matrixes are established to compress spectrogram data both in range and slow time. Then the two dimensional orthogonal matching pursuit (OMP) algorithm is designed in receiving port, which can reconstruct original spectrogram information to acquire the high resolution image of moving target. Firstly, the spectrogram data of SAR imaging for moving target can be reduced apparently by using the method; secondly, the primitive spectrogram information can be exactly reconstructed on the condition that the estimated sparsity degree is no less than and close to the supposed one, the high quality image of moving target can be achieved meanwhile. The effectiveness of the method is validated by the simulation results.
- SAR imaging,
- moving target spectrogram,
- cancellation processing,
- compressed sensing,
- two dimensional compressing and reconstructing

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保铮, 邢孟道, 王彤. 雷达成像技术[M]. 北京:电子工业出版社, 2006.

郭琨毅, 王小青, 盛新庆. 距离向多孔径接收宽测绘带SAR三种成像算法比较[J]. 电波科学学报, 2005, 20(1):119-124. GUO Kunyi, WANG Xiaoqing, SHENG Xinqing. Comparison of three imaging algorithms for multi-aperture wide-swath synthetic aperture radar (MAWS-SAR)[J]. Chinese Journal of Radio Science, 2005, 20(1):119-124. (in Chinese)

黄钰林, 杨建宇, 武俊杰, 等. 机载双站SAR分辨率特性分析[J]. 电波科学学报, 2008, 23(1):174-178. XUANG Yulin, YANG Jianyu, WU Junjie, et al. Resolution characteristic analysis for bistatic airborne SAR[J]. Chinese Journal of Radio Science, 2008, 23(1):174-178. (in Chinese)

DONOHO D L. Compressed sensing[J]. IEEE Transactions on Information Theory, 2006, 52(4):1289-1306.

BARANIUK R. A lecture on compressive sensing[J]. IEEE Signal Processing Magazine, 2007, 24(4):118-121.

CAND S E J, WAKIN M B. An introduction to compressive sampling[J]. IEEE Signal Processing Magazine, 2008, 25(2):21-30.

石光明, 刘丹华, 高大化, 等. 压缩感知理论及其研究进展[J]. 电子学报, 2009, 37(5):1070-1081. SHI Guangming, LIU Danhua, GAO Dahua, et al. Advances in theory and application of compressed sensing[J]. Acta Electronica Sinica, 2009, 37(5):1070-1081. (in Chinese)

HERMAN M, STROHMER T. Compressed sensing radar[C]//Radar Conference. Rome, 2008:1-6.

HERMAN M A, STROHMER T. High-resolution radar via compressed sensing[J]. IEEE Transactions on Signal Processing, 2009, 57(6):2275-2284.

TELLO M, LÓPEZ-DEKKER P, MALLORQUI J J. A novel strategy for radar imaging based on compressive sensing[C]//IGARSS, 2008:213-216.

BARANIUK R, STEEGHS P. Compressive radar imaging[C]//IEEE Radar Conf. Boston, MA, April 2007:128-133.

CETIN M, MOSES R L. SAR imaging from partial-aperture data with frequency-band omissions[J]. Proceedings of SPIE, 2005, 5808:32-43.

BHATTACHARYA S, BLUMENSATH T, MULGREW B, et al. Fast encoding of synthetic aperture radar raw data using compressed sensing[C]//IEEE/SP 14th Workshop on Statistical Signal Processing. Madison, WI, USA, 2007:448-452.

GURBUZ A C, MCCLELLAN J H, SCOTT W R. A compressive sensing data acquisition and imaging method for stepped frequency GPRs[J]. IEEE Transactions on Signal Processing, 2009, 57(7):2640-2650.

刘亚波, 李亚超, 邢孟道, 等. 基于压缩感知的SAR对多舰船目标成像[J]. 中国电子科学研究院学报, 2010, 5(3):270-274. LIU Yabo, LI Yachao, XING Mengdao, et al. SAR imaging for multiple ships based on compressive sensing[J]. Journal of CAEIT, 2010, 5(3):270-274. (in Chinese)

余慧敏, 方广有. 压缩感知理论在探地雷达三维成像中的应用[J]. 电子与信息学报, 2010, 32(1):12-16. YU Huimin, FANG Guangyou. Research on compressive sensing based 3D imaging method applied to ground penetrating radar[J]. Journal of Electronics & Information Technology, 2010, 32(1):12-16. (in Chinese)

侯颖妮, 李道京, 洪文. 基于稀疏阵列和压缩感知理论的艇载雷达运动目标成像研究[J]. 自然科学进展, 2009, 19(10):1110-1116. HOU Yingni, LI Daojing, HONG Wen. Research on moving target imaging with airship radar based on sparse array and compressed sensing[J]. Natural Science Progress, 2009, 19(10):1110-1116. (in Chinese)

寇波, 江海, 刘磊, 等. 基于压缩感知的SAR抑制旁瓣技术研究[J]. 电子与信息学报, 2010, 32(12):3022-3026. KOU Bo, JIANG Hai, LIU Lei, et al. Study of SAR side-lobe suppression based on compressed sensing[J]. Journal of Electronics & Information Technology, 2010, 32(12):3022-3026. (in Chinese)

黄琼, 屈乐乐, 吴秉横, 等. 压缩感知在超宽带雷达成像中的应用[J]. 电波科学学报, 2010, 25(1):77-83. HUANG Xiong, QU Lele, WU Bingheng, et al. Compressive sensing for ultra-wide band radar imaging[J]. Chinese Journal of Radio Science, 2010, 25(1):77-83. (in Chinese)

谢晓春, 张云华. 基于压缩感知的二维雷达成像算法[J]. 电子与信息学报, 2010, 32(5):1234-1238. XIE Xiaochun, ZHANG Yunhua. 2D radar imaging scheme based on compressive sensing technique[J]. Journal of Electronics & Information Technology, 2010, 32(5):1234-1238. (in Chinese)

张云, 姜义成, 李宏博. 一种改善SAR对舰船目标成像质量的新方法研究[J]. 电波科学学报, 2009, 24(4):588-592. ZHANG Yun, JIANG Yicheng, LI Hongbo. Improving synthetic aperture radar imaging of ship targets[J]. Chinese Journal of Radio Science, 2009, 24(4):588-592. (in Chinese)

李小波. 基于压缩感知的测量矩阵研究[D]. 北京:北京交通大学, 2004. LI Xiaobo. Research on Measurement Matrix Based on Compressed Sensing[D]. Beijing:Beijing Jiaotong University, 2004. (in Chinese)

TROPP J A, GILBERT A C. Signal recovery from random measurements via orthogonal matching pursuit[J]. IEEE Transactions on Information Theory, 2007, 53(12):4655-4666.

盛蔚, 毛士艺. 地面多个运动目标成像及定位问题的研究[J]. 系统工程与电子技术, 2003, 25(9):1074-1078. SHENG Wei, MAO Shiyi. Research on the imaging and location for Multiple ground moving targets[J]. Systems Engineering and Electronics, 2003, 25(9):1074-1078. (in Chinese)

周峰, 李亚超, 邢孟道, 等. 一种单通道SAR地面运动目标成像和运动参数估计方法[J]. 电子学报, 2007, 35(3):543-548. ZHOU Feng, LI Yachao, XING Mengdao, et al. An effective approach to ground moving target imaging and motion parameter estimation for single channel SAR system[J]. Acta Electronica Sinca, 2007, 35(3):543-548. (in Chinese)

ZHANG Q, YEO T S, TAN H S, et al. Imaging of a moving target with rotating parts based on the Hough transform[J]. IEEE Transactions on Geoscience and Remote Sensing, 2008, 46(1):291-299.

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