Please wait a minute...
FITEE
Front. Inform. Technol. Electron. Eng.  2011, Vol. 12 Issue (5): 404-416    DOI: 10.1631/jzus.C1000170
    
Effect of orbital errors on the geosynchronous circular synthetic aperture radar imaging and interferometric processing
Lei-lei Kou*,1,2, Xiao-qing Wang1, Mao-sheng Xiang1, Jin-song Chong1, Min-hui Zhu1
1 National Key Laboratory of Microwave Imaging Technology, Institute of Electronics, Beijing 100190, China 2 Graduate University of Chinese Academy of Sciences, Beijing 100190, China
Effect of orbital errors on the geosynchronous circular synthetic aperture radar imaging and interferometric processing
Lei-lei Kou*,1,2, Xiao-qing Wang1, Mao-sheng Xiang1, Jin-song Chong1, Min-hui Zhu1
1 National Key Laboratory of Microwave Imaging Technology, Institute of Electronics, Beijing 100190, China 2 Graduate University of Chinese Academy of Sciences, Beijing 100190, China
 全文: PDF(468 KB)  
摘要： The geosynchronous circular synthetic aperture radar (GEOCSAR) is an innovative SAR system, which can produce high resolution three-dimensional (3D) images and has the potential to provide 3D deformation measurement. With an orbit altitude of approximately 36 000 km, the orbit motion and orbit disturbance effects of GEOCSAR behave differently from those of the conventional spaceborne SAR. In this paper, we analyze the effects of orbit errors on GEOCSAR imaging and interferometric processing. First, we present the GEOCSAR imaging geometry and the orbit errors model based on perturbation analysis. Then, we give the GEOCSAR signal formulation based on imaging geometry, and analyze the effect of the orbit error on the output focused signal. By interferometric processing on the 3D reconstructed images, the relationship between satellite orbit errors and the interferometric phase is deduced. Simulations demonstrate the effects of orbit errors on the GEOCSAR images, interferograms, and the deformations. The conclusions are that the required relative accuracy of orbit estimation should be at centimeter level for GEOCSAR imaging at L-band, and that millimeter-scale accuracy is needed for GEOCSAR interferometric processing.
关键词： Geosynchronous circular synthetic aperture radar (GEOCSAR);  Orbit error;  Imaging;  Interferometric processing    
Abstract: The geosynchronous circular synthetic aperture radar (GEOCSAR) is an innovative SAR system, which can produce high resolution three-dimensional (3D) images and has the potential to provide 3D deformation measurement. With an orbit altitude of approximately 36 000 km, the orbit motion and orbit disturbance effects of GEOCSAR behave differently from those of the conventional spaceborne SAR. In this paper, we analyze the effects of orbit errors on GEOCSAR imaging and interferometric processing. First, we present the GEOCSAR imaging geometry and the orbit errors model based on perturbation analysis. Then, we give the GEOCSAR signal formulation based on imaging geometry, and analyze the effect of the orbit error on the output focused signal. By interferometric processing on the 3D reconstructed images, the relationship between satellite orbit errors and the interferometric phase is deduced. Simulations demonstrate the effects of orbit errors on the GEOCSAR images, interferograms, and the deformations. The conclusions are that the required relative accuracy of orbit estimation should be at centimeter level for GEOCSAR imaging at L-band, and that millimeter-scale accuracy is needed for GEOCSAR interferometric processing.
Key words: Geosynchronous circular synthetic aperture radar (GEOCSAR)    Orbit error    Imaging    Interferometric processing
收稿日期: 2010-05-26 出版日期: 2011-05-09
CLC:  TN957.52  
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　　
Lei-lei Kou
Xiao-qing Wang
Mao-sheng Xiang
Jin-song Chong
Min-hui Zhu

引用本文:

Lei-lei Kou, Xiao-qing Wang, Mao-sheng Xiang, Jin-song Chong, Min-hui Zhu. Effect of orbital errors on the geosynchronous circular synthetic aperture radar imaging and interferometric processing. Front. Inform. Technol. Electron. Eng., 2011, 12(5): 404-416.

链接本文:

http://www.zjujournals.com/xueshu/fitee/CN/10.1631/jzus.C1000170    或    http://www.zjujournals.com/xueshu/fitee/CN/Y2011/V12/I5/404

[1] Dongrong XU, Fei DAI , Yue LU. A platform of digital brain using crowd power[J]. Front. Inform. Technol. Electron. Eng., 2018, 19(1): 78-90.
[2] Jing-yu LIN , Ri-hui WU , Hong-man WANG , Ye-bin LIU. Transient imaging with a time-of-flight camera and its applications[J]. Front. Inform. Technol. Electron. Eng., 2017, 18(9): 1268-1276.
[3] Xue-mei HU , Jia-min WU , Jin-li SUO , Qiong-hai DAI. Emerging theories and technologies on computational imaging[J]. Front. Inform. Technol. Electron. Eng., 2017, 18(9): 1207-1221.
[4] Qiang GUO, Yu-xi WANG, Hong-wei CHEN , Ming-hua CHEN, Si-gang YANG, Shi-zhong XIE . Principles and applications of high-speed single-pixel imaging technology[J]. Front. Inform. Technol. Electron. Eng., 2017, 18(9): 1261-1267.
[5] Guo-hai SITU, Hai-chao WANG. Phase problems in optical imaging[J]. Front. Inform. Technol. Electron. Eng., 2017, 18(9): 1277-1288.
[6] Hao ZHU , Qing WANG , Jingyi YU. Light field imaging: models, calibrations, reconstructions, and applications[J]. Front. Inform. Technol. Electron. Eng., 2017, 18(9): 1236-1249.
[7] Yong DING, Tuo HU . Efficient scheme of low-dose CT reconstruction using TV minimization with an adaptive stopping strategy and sparse dictionary learning for post-processing[J]. Front. Inform. Technol. Electron. Eng., 2017, 18(12): 2001-2008.
[8] Reng-mao Wu, Peng Liu, Ya-qin Zhang, Zhen-rong Zheng, Hai-feng Li, Xu Liu. Ray targeting for optimizing smooth freeform surfaces for LED non-rotational illumination[J]. Front. Inform. Technol. Electron. Eng., 2013, 14(10): 785-791.
[9] Jamal Ghasemi, Mohammad Reza Karami Mollaei, Reza Ghaderi, Ali Hojjatoleslami. Brain tissue segmentation based on spatial information fusion by Dempster-Shafer theory[J]. Front. Inform. Technol. Electron. Eng., 2012, 13(7): 520-533.
[10] Chang-Il Son, Shun-ren Xia. Diffusion tensor interpolation profile control using non-uniform motion on a Riemannian geodesic[J]. Front. Inform. Technol. Electron. Eng., 2012, 13(2): 90-98.
[11] Peng Liu, Reng-mao Wu, Zhen-rong Zheng, Hai-feng Li, Xu Liu. Optimized design of LED freeform lens for uniform circular illumination[J]. Front. Inform. Technol. Electron. Eng., 2012, 13(12): 929-936.
[12] Cheng Jin, Si-ping Chen, Zheng-di Qin, Tian-fu Wang. A new scheme of coded ultrasound using Golay codes[J]. Front. Inform. Technol. Electron. Eng., 2010, 11(6): 476-480.
[13] Peng Chen, Bin-jian Shen, Li-sheng Zhou, Yao-wu Chen. Optimized simulated annealing algorithm for thinning and weighting large planar arrays[J]. Front. Inform. Technol. Electron. Eng., 2010, 11(4): 261-269.