Inverse Synthetic Aperture Radar Imaging of Nonuniformly Rotating Target Based on the Parameters Estimation of Multicomponent Quadratic Frequency-Modulated Signals

Wang, Yong; Zhao, Bin

doi:10.1109/jsen.2015.2409884

Cited by 48 publications

(20 citation statements)

References 28 publications

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“…Then, Radon transform as (10) is applied to detect the line. (10) where, k is the intercept, and θ is the bevel. After Radon transform, the line in v − t domain is projected to be a peak in k − θ domain.…”

Section: Cubic Chirplet Decomposition Based On Radon Transformmentioning

confidence: 99%

“…The ship's 3-D rotations are utilized to obtain the resolutions in the "chirp rate" direction and the "cubic rate" direction. To estimate the "chirp rate" and the "cubic rate", we propose a cubic chirplet decomposition algorithm based on Radon transform, which is proved to have a better precision compared with the existing cubic phase term estimation algorithms, such as Keystone timechirp rate distribution (KTCRD) [9], modified cubic phase function (MCPF) [10], and generalized scaled Fourier transform (GSCFT) [11]. After these parameters are estimated, the "crude" 3-D ISAR image can be achieved.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A Novel 3-D Imaging Method Based on Shipborne ISAR

et al. 2016

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A 3-D inverse synthetic aperture radar (ISAR) image can provide target's information in the range, azimuth, and height dimensions. Since the height resolution is related to the variant observing angles, the existing 3-D ISAR imaging methods are highly dependent on the radar's hardware complexity (two or more sensors). In this paper, we propose a novel 3-D shipborne ISAR imaging method, which utilizes the maneuvering movement of one single shipborne radar to obtain the height resolution, and hence, the restriction on the hardware complexity is relaxed. Moreover, a novel cubic chirplet decomposition algorithm based on Radon transform is proposed to estimate the signal parameters, and additional data from narrow-band tracking radar and shipborne attitude indicator is used for image scaling and distortion elimination. Therefore, the high-quality 3-D ISAR image can be achieved. Simulation results verify the effectiveness of the proposed methods.

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Section: Cubic Chirplet Decomposition Based On Radon Transformmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Novel 3-D Imaging Method Based on Shipborne ISAR

et al. 2016

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“…The idea of transforming non-uniform rotation into uniform rotation through suitable for imaging of a real target. Wang et al [24,25], Li et al [26], and Liu et al [27] indicated that the non-uniform rotation of the target leads to multiple LFM or PPS components in cross-range signals, and used the slow time resampling approach for rotational nonuniformity compensation. However, the coefficient estimation of the PPS is not very accurate due to noise and mutual interference, which adversely affect the following slow time resampling and final ISAR imaging.…”

Section: Introductionmentioning

confidence: 99%

Inverse Synthetic Aperture Radar Imaging of Targets with Complex Motion based on Optimized Non-Uniform Rotation Transform

Zou

et al. 2018

Remote Sensing

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Abstract:Focusing on the inverse synthetic aperture radar (ISAR) imaging of targets with complex motion, this paper proposes a modified version of the Fourier transform, called non-uniform rotation transform, to achieve cross-range compression. After translational motion compensation, the target's complex motion is converted into non-uniform rotation. We define two variables-relative angular acceleration (RAA) and relative angular jerk (RAJ)-to describe the rotational nonuniformity. With the estimated RAA and RAJ, rotational nonuniformity compensation is carried out in the non-uniform rotation transform matrix, after which, a focused ISAR image can be obtained. Moreover, considering the possible deviation of RAA and RAJ, we design an optimization scheme to obtain the optimal RAA and RAJ according to the optimal quality of the ISAR image. Consequently, the ISAR imaging of targets with complex motion is converted into a parameter optimization problem in which a stable and clear ISAR image is guaranteed. Compared to precedent imaging methods, the new method achieves better imaging results with a reasonable computational cost. Experimental results verify the effectiveness and advantages of the proposed algorithm.

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“…Thanks to the ability to produce high-resolution microwave imagery for the non-cooperative target nearly regardless of weather condition, the inverse synthetic aperture radar (ISAR) presents a range of applications in the field of national defense surveillance [1,2,3,4]. The range-Doppler (RD) ISAR imaging algorithm [5,6] can be an effective means to obtain radar images, provided that the Doppler frequency shift is constant during the imaging time.…”

Section: Introductionmentioning

confidence: 99%

An Efficient ISAR Imaging of Targets with Complex Motions Based on a Quasi-Time-Frequency Analysis Bilinear Coherent Algorithm

Zeng

Qin

Liu

et al. 2018

Sensors

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The inverse synthetic aperture radar (ISAR) imaging for targets with complex motions has always been a challenging task due to the time-varying Doppler parameter, especially at the low signal-to-noise ratio (SNR) condition. In this paper, an efficient ISAR imaging algorithm for maneuvering targets based on a noise-resistance bilinear coherent integration is developed without the parameter estimation. First, the received signals of the ISAR in a range bin are modelled as a multicomponent quadratic frequency-modulated (QFM) signal after the translational motion compensation. Second, a novel quasi-time-frequency representation noise-resistance bilinear Radon-cubic phase function (CPF)-Fourier transform (RCFT) is proposed, which is based on the coherent integration of the energy of auto-terms along the slope line trajectory. In doing so, the RCFT also effectively suppresses the cross-terms and spurious peaks interference at no expense of the time-frequency resolution loss. Third, the cross-range positions of target’s scatters in ISAR image are obtained via a simple maximization projection from the RCFT result to the Doppler centroid axis, and the final high-resolution ISAR image is thus produced by regrouping all the range-Doppler frequency centroids. Compared with the existing time-frequency analysis-based and parameter estimation-based ISAR imaging algorithms, the proposed method presents the following features: (1) Better cross-term interference suppression at no time-frequency resolution loss; (2) computationally efficient without estimating the parameters of each scatters; (3) higher signal processing gain because of 2-D coherent integration realization and its bilinear function feature. The simulation results are provided to demonstrate the performance of the proposed method.

show abstract

Inverse Synthetic Aperture Radar Imaging of Nonuniformly Rotating Target Based on the Parameters Estimation of Multicomponent Quadratic Frequency-Modulated Signals

Cited by 48 publications

References 28 publications

A Novel 3-D Imaging Method Based on Shipborne ISAR

A Novel 3-D Imaging Method Based on Shipborne ISAR

Inverse Synthetic Aperture Radar Imaging of Targets with Complex Motion based on Optimized Non-Uniform Rotation Transform

An Efficient ISAR Imaging of Targets with Complex Motions Based on a Quasi-Time-Frequency Analysis Bilinear Coherent Algorithm

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