Journal of University of Chinese Academy of Sciences >
3D imaging algorithm for multi-baseline SAR based on QR decomposition
Received date: 2010-03-15
Revised date: 2010-05-12
Online published: 2011-01-20
Based on the signal model of multi-baseline synthetic aperture radar (MB-SAR), the matrix function between the observed samples and the image in the height direction is obtained, and QR decomposition is used to solve the matrix equation.The 3D imaging algorithm based on QR decomposition for MB-SAR is established, and the simulation results are presented.
Key words： multi-baseline SAR; 3D imaging; QR decomposition
WANG Bin , WANG Yan-Ping , HONG Wen . 3D imaging algorithm for multi-baseline SAR based on QR decomposition[J]. Journal of University of Chinese Academy of Sciences, 2011 , 28(1) : 80 -85 . DOI: 10.7523/j.issn.2095-6134.2011.1.012
[1] Reigber A, Moreira A. First demonstration of airborne SAR tomography using multibaseline L-band data
[J]. IEEE Transactions on Geoscience and Remote Sensing, 2000, 38(5): 2142-2152.
[2] Guillaso S, Reigber A. Scatterer characterisation using polarimetric SAR tomography //IEEE Proceedings of IGARSS 2005, Seoul: IEEE, 2005: 2685-2688.
[3] Lopez J, Fortuny J. 3-D radar imaging using range migration techniques
[J].IEEE Transactions on Antennas and Propagation, 2000, 48(5): 728-737.
[4] Tan W X,Hong W, Wang Y P,et al.Synthetic aperture radar tomography sampling criteria and three-dimensional range migration algorithm with elevation digital spotlighting
[J]. Science in China Series F-Information Sciences, 2009, 52(1): 100-114.
[5] Fornaro G, Serafino F, Soldovieri F. Three-dimensional focusing with multipass SAR data
[J]. IEEE Transactions on Geoscience and Remote Sensing, 2003, 41(3): 507-517.
[6] Fornaro G, Pauciullo. Three-dimensional multipass SAR focusing: experiments with long-term spaceborne data
[J]. IEEE Transactions on Geoscience and Remote Sensing, 2005, 43(4): 702-714.
[7] 邹谋炎. 反卷积和信号复原
[M].北京:国防工业出版社, 2001.
[8] Cumming I, Wong F. 合成孔径雷达成像——算法与实现
[M].洪文,胡东辉,等译.北京:电子工业出版社, 2007.
[9] 张贤达. 矩阵分析与应用
[M]. 北京:清华大学出版社, 2004.
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