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High Resolution SAR Image Algorithm with Sample Length Constraints for the Range Direction

Zhenli Wang1, *, Qun Wang1, Fujuan Li1, Shuai Wang2
1 Department of Computer Information and Network Security, Jiangsu Police Institute, Nanjing, 210031, China.
2 Department of Radiology and BRIC, University of North Carolina at Chapel Hill, North Carolina, 27599, USA
* Corresponding Author: Zhenli Wang. Email: .

Computers, Materials & Continua 2020, 63(3), 1533-1543.

Received 16 January 2020; Accepted 28 February 2020; Issue published 30 April 2020


The traditional Range Doppler (RD) algorithm is unable to meet practical needs owing to the limit of resolution. The order of fractional Fourier Transform (FrFT) and the length of sampling signals affect SAR imaging performance when FrFT is applied to RD algorithm. To overcome the above shortcomings, the purpose of this paper is to propose a high-resolution SAR image algorithm by using the optimal order of FrFT and the sample length constraints for the range direction. The expression of the optimal order of SAR range signals via FrFT is deduced in detail. The initial sample length and its constraints are proposed to obtain the best sample length of SAR range signals. Experimental results demonstrate that, when the range sampling-length changes in a certain interval, the best sampling-length will be obtained, which the best values of the range resolution, PSLR and ISLR, will be derived respectively. Compared with traditional RD algorithm, the main-lobe width of the peak-point target of the proposed algorithm is narrow in the range direction. While the peak amplitude of the first side-lobe is reduced significantly, those of other side-lobes also drop in various degrees.


Fractional Fourier transform, synthetic aperture radar, range doppler algorithm, image quality assessment.

Cite This Article

Z. Wang, Q. Wang, F. Li and S. Wang, "High resolution sar image algorithm with sample length constraints for the range direction," Computers, Materials & Continua, vol. 63, no.3, pp. 1533–1543, 2020.

This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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