ISAR 2-D Imaging of Uniformly Rotating Targets via Matching Pursuit

Li, Gang; Zhang, Hao; Wang, Xiqin; Xia, Xiang-Gen

doi:10.1109/taes.2012.6178106

Cited by 123 publications

(65 citation statements)

References 25 publications

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“…It has already been pointed out in [30] that the resolution performance of CS-based imaging algorithm is determined by the discretization grid of the target spatial domain. In our situation, high resolution comes from smaller values of Δx and Δy.…”

Section: Analysis Of Resolution Performancementioning

confidence: 99%

High Resolution Wideband Imaging of Fast Rotating Targets Based on Random Pri Radar

Liu¹,

Chen²,

Sui³

2018

PIER M

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Abstract-By exploiting the micro-motion features of fast rotating targets, wideband radar has been successfully applied to high resolution imaging. However, due to the traditional fixed pulse repetition interval (PRI), the target image may suffer from aliasing in some practical situations. In this paper, under the compressed sensing (CS) radar framework, an efficient wideband imaging scheme with random PRI signal is introduced for aliasing reduction. Considering that direct application of the CS theory will result in large-scale dictionaries and high computational complexity, we firstly generate a low resolution image by applying modified generalized Radon transform on range-slow time domain and then scale down the dictionary column by reserving the atoms corresponding to those strong scattering areas. Simulation results show that this scheme can achieve aliasing-free images with acceptable computational cost.

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Section: Analysis Of Resolution Performancementioning

confidence: 99%

High Resolution Wideband Imaging of Fast Rotating Targets Based on Random Pri Radar

Liu¹,

Chen²,

Sui³

2018

PIER M

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“…From (14), one can conclude that the image of jamming signals is a series of scaled sinc functions in different bins, with its sidebands equally spaced at multiples of ω 2π in the cross-range. In addition, the bandwidth of the m-D is about 2Z, which is a function of wave length and rotation radius.…”

Section: Isar Imaging Of the Jamming Signalsmentioning

confidence: 99%

“…Each sinc in (14) would be identified as a fake "point" target or a pointscatterer in radar, and according to the principle of time-frequency conversion, the distance in the down-range and the distance in the cross-range among scatterers are given by [31] d r = cf s 2k and…”

Section: Two Steps To Determine the Key Parametersmentioning

confidence: 99%

“…The amplitude of the target echo is T p T M as can be known from (14). So if the amplitude of a fake scatterer is equal to that of the true one, the amplitude ratio of the fake scatterer to the true one, namely the amplitude modulation coefficient, should be…”

Section: Two Steps To Determine the Key Parametersmentioning

confidence: 99%

“…These mechanical rotations or vibrations are referred as micro-motion dynamics. Micro-motion dynamics of an object or structures on the object may introduce additional time-varying frequency modulations on the radar echoes which are called microDoppler (m-D) effect [13,14]. On the one hand, the ISAR image may be contaminated due to the interference from the additional timevarying m-D modulations when the backscattering of the micro-motion part is emphatic enough [15][16][17].…”

Section: Introductionmentioning

confidence: 99%

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Rotational Micro-Motion Modulated Jamming for Countering Isar Based on Intermittent Sampling Repeater

Pan¹,

Wang²,

Feng³

et al. 2013

PIER C

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Abstract-The intermittent sampling repeater jamming (ISRJ) can only produce fake point scatterers in the down-range, while the timevarying frequency induced by rotational micro-motion dynamics blurs the image in the cross-range. This paper focuses on the combination of the above two methods to counter the inverse synthetic aperture radar (ISAR). Based on the signal models of coherent ISAR signal processing, principles of the jamming are derived. The key jamming parameters and the selection criteria are determined by two steps. Finally, the validity of the proposed algorithm is demonstrated using the numeric simulations and simulations based on the measured data.

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