Autofocusing of inverse synthetic aperture radar images using contrast optimization

Berizzi, F.; Corsini, Giovanni

doi:10.1109/7.532282

Cited by 311 publications

(143 citation statements)

References 4 publications

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“…The entropy of the image after phase adjustment [12,13] and the computation time for the alignment were calculated for each method ( Table 1). The entropy of the image was calculated as…”

Section: Simulation Results Using a Target Of Point Scatterersmentioning

confidence: 99%

Efficient Range Alignment Algorithm for Real-Time Range-Doppler Algorithm

Jung¹,

Kim²,

Bae³

et al. 2017

PIER C

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Abstract-When deriving a range-Doppler image or a time-frequency image of a fast-maneuvering target at long range, existing range alignment methods yield poor results due to the large numbers of range profiles (RPs) and range bins that are required for this task. This paper proposes a threestep range alignment method to overcome the problems of these existing methods and to yield focused images: (1) coarse alignment using the interpolated center of mass of each RP, (2) fine alignment with an integer step using an entropy cost function, and (3) fine-tuning using particle swarm optimization. Compared to existing methods, the proposed method is computationally more efficient and provides better image focus.

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“…The entropy of the image after phase adjustment [12,13] and the computation time for the alignment were calculated for each method ( Table 1). The entropy of the image was calculated as…”

Section: Simulation Results Using a Target Of Point Scatterersmentioning

confidence: 99%

Efficient Range Alignment Algorithm for Real-Time Range-Doppler Algorithm

Jung¹,

Kim²,

Bae³

et al. 2017

PIER C

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“…First, conventional translational motion compensation, including range alignment and the phase compensation [28][29][30][31], should be performed. Second, the Keystone transform is used to correct the linear MRTC as much as possible.…”

Section: Pfa Revision Based On Integrated Cubic Phase Functionmentioning

confidence: 99%

MTRC compensation in high-resolution ISAR imaging via improved polar format algorithm based on ICPF

Liu

Chen

Yuan

2014

EURASIP J. Adv. Signal Process.

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In this paper, we present a detailed analysis on the performance degradation of inverse synthetic aperture radar (ISAR) imagery with the polar format algorithm (PFA) due to the inaccurate rotation center. And a novel algorithm is developed to estimate the rotation center for ISAR targets to overcome the degradation. In real ISAR scenarios, the real rotation center shift is usually not coincided with the gravity center of the high-resolution range profile (HRRP), due to the data-driven translational motion compensation. Because of the imprecise information of rotation center, PFA image yields model errors and severe blurring in the cross-range direction. To tackle this problem, an improved PFA based on integrated cubic phase function (ICPF) is proposed. In the method, the rotation center in the slant range is estimated firstly by ICPF, and the signal is shifted accordingly. Finally, the standard PFA algorithm can be carried out straightforwardly. With the proposed method, wide-angle ISAR imagery of non-cooperative targets can be achieved by PFA with improved focus quality. Simulation and real-data experiments confirm the effectiveness of the proposal.

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“…Examples include SAR [2,33], inverse SAR (ISAR) [34][35][36], moving target indicator [7], etc. To introduce the relative movement between the proposed radar and targets, the placement of the MMWCSAR system is presented in section 2.1.…”

Section: Mmwcsar Systemmentioning

confidence: 99%

3D Imaging Millimeter Wave Circular Synthetic Aperture Radar

Zhang

Cao

2017

Preprint

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Abstract:In this paper, a new millimeter wave 3D imaging radar is proposed. The user just needs to move the radar along a circular track, a high resolution 3D imaging can be generated. The proposed radar uses the movement of itself to synthesize a large aperture in both the azimuth and elevation directions. It can utilize inverse Radon transform to resolve 3D imaging. To improve the sensing result, compressed sensing approach is further investigated. The simulation and experimental result further illustrated the design. Because a single transceiver circuit is needed, a light, affordable and high resolution 3D mmWave imaging radar is illustrated in the paper.

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Autofocusing of inverse synthetic aperture radar images using contrast optimization

Cited by 311 publications

References 4 publications

Efficient Range Alignment Algorithm for Real-Time Range-Doppler Algorithm

Efficient Range Alignment Algorithm for Real-Time Range-Doppler Algorithm

MTRC compensation in high-resolution ISAR imaging via improved polar format algorithm based on ICPF

3D Imaging Millimeter Wave Circular Synthetic Aperture Radar

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