Abstract
Based on the characteristics of radar signal and the algorithms’ applicability and performance of different algorithms, this paper selects scientifically the most suitable option for radar imaging among these four sparse fast Fourier transform (SFFT) algorithms for 2D ISAR imaging; evaluates each algorithm’s accuracy through simulation; and applies SFFT to inverse synthetic aperture radar (ISAR) imaging program for the stepped frequency radar. Through an experiment, author studies SFFT’s imaging efficiency and gets a conclusion that SFFT is able to reduce the run time into half at a low loss of image quality.
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Qian, Y., Hong, T. (2019). 2D ISAR Imaging Using SFFT. In: Patnaik, S., Jain, V. (eds) Recent Developments in Intelligent Computing, Communication and Devices. Advances in Intelligent Systems and Computing, vol 752. Springer, Singapore. https://doi.org/10.1007/978-981-10-8944-2_74
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DOI: https://doi.org/10.1007/978-981-10-8944-2_74
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