Space-Variant Channel Phase Bias Calibration in Airborne Multichannel HRWS SAR Imaging

Author(s):  
Chao Fang ◽  
Yanyang Liu ◽  
Shalin Ye ◽  
Wentao Hou
Keyword(s):  
2019 ◽  
Vol 55 (8) ◽  
pp. 481-483
Author(s):  
Bowen Bie ◽  
Guang‐Cai Sun ◽  
Mengdao Xing

2021 ◽  
Vol 13 (10) ◽  
pp. 1888
Author(s):  
Faguang Chang ◽  
Dexin Li ◽  
Zhen Dong ◽  
Yang Huang ◽  
Zhihua He ◽  
...  

Due to geosynchronous synthetic aperture radar’s (GEO SAR) high orbit and low relative speed, the integration time reaches up to hundreds of seconds for a fine resolution. The short revisit cycle is essential for remote sensing applications such as disaster monitoring and vegetation measurements. Three-dimensional (3D) scene imaging mode is crucial for long-term observation using GEO SAR. However, this mode will bring a new kind of space-variant error in elevation. In this paper, we focus on the analysis of the elevation space-variant error. First, the decorrelation problems caused by the spatial variation are presented. Second, by combining with the SAR imaging geometry, the elevation spatial variation is decomposed into two-dimensional (2D) space variation of range and azimuth. Third, an imaging algorithm is proposed to solve the 3D space variation and improve the focusing depth. Finally, simulations with dot-matrix targets and distributed targets are performed to validate the imaging method.


Author(s):  
Krzysztof Radecki ◽  
Piotr Samczynski ◽  
Damian Gromek ◽  
Krzysztof Kulpa
Keyword(s):  

2011 ◽  
Vol 33 (2) ◽  
pp. 355-362
Author(s):  
Lei Yang ◽  
Lei Zhang ◽  
Yu Tang ◽  
Meng-dao Xing ◽  
Zheng Bao
Keyword(s):  

2014 ◽  
Vol 35 (12) ◽  
pp. 2843-2849 ◽  
Author(s):  
Xiao-lei Han ◽  
Shi-qiang Li ◽  
Yu Wang ◽  
Wei-dong Yu
Keyword(s):  

2014 ◽  
Vol 35 (6) ◽  
pp. 1456-1463
Author(s):  
Song Zhou ◽  
Min Bao ◽  
Shi-chao Chen ◽  
Meng-dao Xing ◽  
Zheng Bao

2011 ◽  
Vol 33 (10) ◽  
pp. 2438-2444
Author(s):  
Hai-sheng Xu ◽  
Hong-jun Song ◽  
Yun-kai Deng ◽  
Yu Wang ◽  
Lu Wang
Keyword(s):  

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