2019
DOI: 10.1049/joe.2019.0791
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Improved moving target detector using sequential combination of DPCA and ATI

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Cited by 7 publications
(3 citation statements)
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“…The proposed APS approach directly provides a mathematical formulation of the exact set of element excitations, which yield the desired APS without any iterative optimization process. Since the core calculations in the proposed approach rely on the FFT operations [ 29 , 30 , 31 , 32 , 33 , 34 ], the proposed method is computationally more efficient than the traditional optimization process, essentially coming down to trial and error [ 35 , 36 , 37 , 38 , 39 ]. Generally, it is assumed that the elements of linear array are uniformly spaced at distance d .…”
Section: Discussionmentioning
confidence: 99%
“…The proposed APS approach directly provides a mathematical formulation of the exact set of element excitations, which yield the desired APS without any iterative optimization process. Since the core calculations in the proposed approach rely on the FFT operations [ 29 , 30 , 31 , 32 , 33 , 34 ], the proposed method is computationally more efficient than the traditional optimization process, essentially coming down to trial and error [ 35 , 36 , 37 , 38 , 39 ]. Generally, it is assumed that the elements of linear array are uniformly spaced at distance d .…”
Section: Discussionmentioning
confidence: 99%
“…Synthetic aperture radar (SAR) is a powerful remote sensing technology that uses the signal it receives from the target region to create an image [1][2][3][4][5][6][7][8]. Parameters such as spatial resolution, noise equivalent sigma zero, peak sidelobe ratio, and integrated sidelobe ratio [9,10] are used to evaluate image quality.…”
Section: Introductionmentioning
confidence: 99%
“…[26] mentions a new SAR-GMTIm algorithm in the framework of compressed sensing (CS), which is able to obtain high-resolution SAR images with a high focus response and precise localization. In [27,28], a novel MTI scheme, which consists of DPCA detection, clustering and ATI discrimination, is also noted to reduce the probability of false alarms and improve the detection performance. However, although these methods suppress clutter in several ways, such as reducing the number of samples, reducing dimensionality, and selecting uniform samples, they have not fundamentally solved the problem.…”
Section: Introductionmentioning
confidence: 99%