@Article{cmc.2020.09721,
AUTHOR = {Zhenli Wang, Qun Wang, Fujuan Li, Shuai Wang},
TITLE = {High Resolution SAR Image Algorithm with Sample Length  Constraints for the Range Direction},
JOURNAL = {Computers, Materials \& Continua},
VOLUME = {63},
YEAR = {2020},
NUMBER = {3},
PAGES = {1533--1543},
URL = {http://www.techscience.com/cmc/v63n3/38891},
ISSN = {1546-2226},
ABSTRACT = {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.},
DOI = {10.32604/cmc.2020.09721}
}