scholarly journals A Signal Processing Algorithm Based on 2D Matched Filtering for SSAR

2017 ◽  
Vol 2017 ◽  
pp. 1-10
Author(s):  
Shouguo Yang ◽  
Yong Li ◽  
Kunhui Zhang ◽  
Jianshe Liu
Keyword(s):  
Signal Processing ◽  
Synthetic Aperture Radar ◽  
Processing Algorithm ◽  
Synthetic Aperture ◽  
Matched Filtering ◽  
Target Velocity ◽  
Signal Processing Algorithm ◽  
Line Scan ◽  
Radar Antenna ◽  
Aperture Radar

This study discusses a smart radar antenna scanning mode that combines features of both the sector-scan mode used for conventional radar and the line-scan mode used for synthetic aperture radar (SAR) and achieves an application of the synthetic aperture technique in the conventional sector-scan (mechanically scanned) radar, and we refer to this mode as sector-scan synthetic aperture radar (SSAR). The mathematical model is presented based on the principle of SSAR, and a signal processing algorithm is proposed based on the idea of two-dimensional (2D) matched filtering. The influences of the line-scan range and speed on the SSAR system are analyzed, and the solution to the problem that the target velocity is very high is given. The performance of the proposed algorithm is evaluated through computer simulations. The simulation results indicate that the proposed signal processing algorithm of SSAR can gather the signal energy of targets, thereby improving the ability to detect dim targets.

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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