Vol.65, No.3, 2020, pp.2351-2363, doi:10.32604/cmc.2020.011909
New SAR Imaging Algorithm via the Optimal Time-Frequency Transform Domain
  • Zhenli Wang1, *, Qun Wang1, Jiayin Liu1, Zheng Liang1, Jingsong Xu2
1 Department of Computer Information and Network Security, Jiangsu Police Institute, Nanjing, China.
2 Research Fellow Faculty of Engineering and Information Technology, University of Technology Sydney, New South Wales, Australia.
* Corresponding Author: Zhenli Wang. Email: dongwen3619@sina.com.
Received 05 June 2020; Accepted 24 July 2020; Issue published 16 September 2020
To address the low-resolution imaging problem in relation to traditional Range Doppler (RD) algorithm, this paper intends to propose a new algorithm based on Fractional Fourier Transform (FrFT), which proves highly advantageous in the acquisition of high-resolution Synthetic Aperture Radar (SAR) images. The expression of the optimal order of SAR range signals using FrFT is deduced in detail, and the corresponding expression of the azimuth signal is also given. Theoretical analysis shows that, the optimal order in range (azimuth) direction, which turns out to be very unique, depends on the known imaging parameters of SAR, therefore the engineering practicability of FrFT-RD algorithm can be greatly improved without the need of order iteration. The FrFT-RD algorithm is established after an analysis of the optimal timefrequency transform. Experimental results demonstrate that, compared with traditional RD algorithm, the main-lobe width of the peak-point target of FrFT-RD algorithm is narrow in both range and azimuth directions. While the peak amplitude of the first sidelobe is reduced significantly, those of other side-lobes also drop in various degrees. In this way, the imaging resolution of range and azimuth can be increased considerably.
Fourier transform, fractional Fourier transform, synthetic aperture radar, range doppler algorithm.
Cite This Article
Wang, Z., Wang, Q., Liu, J., Liang, Z., Xu, J. (2020). New SAR Imaging Algorithm via the Optimal Time-Frequency Transform Domain. CMC-Computers, Materials & Continua, 65(3), 2351–2363.
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