Hardware acceleration of the motion compensation algorithms in synthetic aperture radar (SAR) platforms

2006 ◽  
Author(s):  
Fernando E. Ortiz ◽  
James P. Durbano ◽  
Eric J. Kelmelis ◽  
Michael R. Bodnar
Keyword(s):  
Synthetic Aperture Radar ◽  
Motion Compensation ◽  
Hardware Acceleration ◽  
Synthetic Aperture ◽  
Aperture Radar

scholarly journals Residual Motion Error Correction with Backprojection Multisquint Algorithm for Airborne Synthetic Aperture Radar Interferometry

Sensors ◽  
2019 ◽  
Vol 19 (10) ◽  
pp. 2342 ◽  
Author(s):  
Pengfei Xie ◽  
Man Zhang ◽  
Lei Zhang ◽  
Guanyong Wang
Keyword(s):  
Synthetic Aperture Radar ◽  
Error Correction ◽  
Motion Compensation ◽  
Mathematical Expression ◽  
Real Data ◽  
Synthetic Aperture ◽  
Motion Error ◽  
Digital Elevation ◽  
Residual Motion ◽  
Aperture Radar

For airborne interferometric synthetic aperture radar (InSAR) data processing, it is essential to achieve precise motion compensation to obtain high-quality digital elevation models (DEMs). In this paper, a novel InSAR motion compensation method is developed, which combines the backprojection (BP) focusing and the multisquint (MSQ) technique. The algorithm is two-fold. For SAR image focusing, BP algorithm is applied to fully use the navigation information. Additionally, an explicit mathematical expression of residual motion error (RME) in the BP image is derived, which paves a way to integrating the MSQ algorithm in the azimuth spatial wavenumber domain for a refined RME correction. It is revealed that the proposed backprojection multisquint (BP-MSQ) algorithm exploits the motion error correction advantages of BP and MSQ simultaneously, which leads to significant improvements of InSAR image quality. Simulation and real data experiments are employed to illustrate the effectiveness of the proposed algorithm.

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