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

机译:合成孔径雷达(SAR)系统中信号处理软件成像算法的验证

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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.
机译:在信号处理软件测试的合成孔径雷达(SAR)中,算法的验证是专业的,并且具有非常高的比例。然而,现有方法只能对算法进行验证程度,对软件测试的有效性发挥不利影响。本文提出了一种基于过程的算法验证方法。首先,它描述了在运动错误环境下的极性格式算法(PFA)的处理过程,基于其分析了实际情况中可能存在的可能问题。通过数据仿真,灵活且有效地产生SAR回波。然后,算法模拟用于专注于算法中采用的近似的演示。结合实际数据处理,隐藏的错误进一步挖掘,实现了PFA的全面验证。模拟实验和实际数据处理验证所提出的算法的正确性和有效性。

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