Signal processing techniques for forward imaging using ultrawideband synthetic aperture radar

2003 ◽  
Author(s):  
Lam H. Nguyen ◽  
Tuan T. Ton ◽  
David C. Wong ◽  
Marc A. Ressler
Keyword(s):  
Signal Processing ◽  
Synthetic Aperture Radar ◽  
Synthetic Aperture ◽  
Processing Techniques ◽  
Signal Processing Techniques ◽  
Aperture Radar

Signal processing techniques for ultrawideband synthetic aperture radar data

1999 ◽  
Author(s):  
Jeffrey Sichina ◽  
Lam H. Nguyen ◽  
Tuan T. Ton ◽  
Marc A. Ressler ◽  
Kenneth I. Ranney ◽  
...  
Keyword(s):  
Signal Processing ◽  
Synthetic Aperture Radar ◽  
Radar Data ◽  
Synthetic Aperture ◽  
Synthetic Aperture Radar Data ◽  
Processing Techniques ◽  
Signal Processing Techniques ◽  
Aperture Radar

scholarly journals Verification of Imaging Algorithm for Signal Processing Software within Synthetic Aperture Radar (SAR) System

2019 ◽  
Vol 2019 ◽  
pp. 1-12 ◽  
Author(s):  
Le-tian Zeng ◽  
Chun-hui Yang ◽  
Mao-sheng Huang ◽  
Yue-long Zhao
Keyword(s):  
Signal Processing ◽  
Data Processing ◽  
Synthetic Aperture Radar ◽  
Software Testing ◽  
Real Data ◽  
Synthetic Aperture ◽  
Data Simulation ◽  
Motion Error ◽  
Processing Software ◽  
Aperture Radar

In the signal processing software testing for synthetic aperture radar (SAR), the verification for algorithms is professional and has a very high proportion. However, existing methods can only perform a degree of validation for algorithms, exerting an adverse effect on the effectiveness of the software testing. This paper proposes a procedure-based approach for algorithm validation. Firstly, it describes the processing procedures of polar format algorithm (PFA) under the motion-error circumstance, based on which it analyzes the possible questions that may exist in the actual situation. By data simulation, the SAR echoes are generated flexibly and efficiently. Then, algorithm simulation is utilized to focus on the demonstrations for the approximations adopted in the algorithm. Combined with real data processing, the bugs concealed are excavated further, implementing a comprehensive validation for PFA. Simulated experiments and real data processing validate the correctness and effectiveness of the proposed algorithm.

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