2014
DOI: 10.1109/lgrs.2013.2271691
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Imaging and Parameter Estimation of Fast-Moving Targets With Single-Antenna SAR

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Cited by 84 publications
(71 citation statements)
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“…This transform is very effective if applied to raw or range-compressed signals [29][30][31]38], but this process is not a computationally efficient method. Instead of raw signals, here we consider the SLC data with which both azimuth and range compression are already performed, and unlike the rectangular function in Equation (1), the extension of the sinc function in the azimuth dimension in Equation (16) is very limited.…”
Section: Of 16mentioning
confidence: 99%
See 1 more Smart Citation
“…This transform is very effective if applied to raw or range-compressed signals [29][30][31]38], but this process is not a computationally efficient method. Instead of raw signals, here we consider the SLC data with which both azimuth and range compression are already performed, and unlike the rectangular function in Equation (1), the extension of the sinc function in the azimuth dimension in Equation (16) is very limited.…”
Section: Of 16mentioning
confidence: 99%
“…Various focusing methods for SAR have previously been developed, but most of them are based on raw signal processing [9,12], and recently, many have involved the keystone transformation [29][30][31]. Although several SAR focusing algorithms have been developed for ground moving targets, raw signals rather…”
Section: Introductionmentioning
confidence: 99%
“…After range compression and range curvature correction [25], the signal of the moving target can be rewritten as…”
Section: Signal Modelmentioning
confidence: 99%
“…The processing of ground moving targets has been a very hot topic for SAR, including their detection, imaging and relocation, etc.. At present, there have been a lot of literatures dealing with these issues [3][4][5][6][7]. The general processing scheme for a ground moving target is as follows: we first suppress the surrounding stationary clutter and then detect it before imaging, and finally relocate it to the right position in SAR image after focused imaging.…”
Section: Introductionmentioning
confidence: 99%