2003
DOI: 10.1049/ip-rsn:20030638
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Distortion in the inverse synthetic aperture radar (ISAR) images of a target with time-varying perturbed motion

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Cited by 29 publications
(20 citation statements)
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“…Inverse synthetic aperture radar (ISAR) has been widely employed to obtain the high-resolution image of the target for coastal surveillance and target recognition [1][2][3]. In recent decades, many imaging approaches such as range-instantaneous-Doppler algorithm [4][5][6], time-frequency processing method [7][8][9], and compressive sensing algorithm [10][11][12] were proposed. For all these advanced imaging algorithms, the image quality heavily relies on the correctness of recorded data.…”
Section: Introductionmentioning
confidence: 99%
“…Inverse synthetic aperture radar (ISAR) has been widely employed to obtain the high-resolution image of the target for coastal surveillance and target recognition [1][2][3]. In recent decades, many imaging approaches such as range-instantaneous-Doppler algorithm [4][5][6], time-frequency processing method [7][8][9], and compressive sensing algorithm [10][11][12] were proposed. For all these advanced imaging algorithms, the image quality heavily relies on the correctness of recorded data.…”
Section: Introductionmentioning
confidence: 99%
“…Then, the range-instantaneousDoppler (RID) algorithm was proposed [9][10][11]. The RID algorithm can be divided into two aspects: one is the parametric method, and the other is the time-frequency representation method.…”
Section: Introductionmentioning
confidence: 99%
“…TFRIF can obtain a series of images with different frequencies and aspect angles with no sacrifice of spatial resolutions. Time-frequency analysis has been applied to the various fields of radar imaging, but most papers concern about ISAR image distortion and its correction [3,4] , which have not discussed the problem of frequency and aspect angle-dependent reflectivity pattern information extraction in SAR applications. We give a thorough analysis on TFRIF from mathematical and physical viewpoints to understand its role in the following targets detection and recognition processing.…”
Section: Introductionmentioning
confidence: 99%