New SAR Imaging Algorithm via the Optimal Time-Frequency Transform Domain

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) ima...

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Bibliographic Details
Published in:Computers, materials & continua Vol. 65; no. 3; pp. 2351 - 2363
Main Authors: Wang, Zhenli, Wang, Qun, Liu, Jiayin, Liang, Zheng, Xu, Jingsong
Format: Journal Article
Language:English
Published: Henderson Tech Science Press 2020
Subjects:
Algorithms
Azimuth
Fourier transforms
Image acquisition
Image resolution
Radar imaging
Sidelobe reduction
Sidelobes
Synthetic aperture radar
ISSN:1546-2226, 1546-2218, 1546-2226
Online Access:Get full text
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Summary: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.
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ISSN:1546-2226
1546-2218
1546-2226
DOI:10.32604/cmc.2020.011909