ISAR Imaging of a Ship Target Based on Parameter Estimation of Multicomponent Quadratic Frequency-Modulated Signals

Bai, Xiao; Tao, Ran; Wang, Zhijiao; Wang, Yue

doi:10.1109/tgrs.2013.2251348

Cited by 113 publications

(118 citation statements)

References 14 publications

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“…In ISAR imaging for targets with complex motions, however, azimuth echoes have to be modeled as cubic phase signals (CPSs) instead of LFM signals [12]- [18]. Compared to the LFM signal model, the CPS model can handle both slowly maneuvering targets and targets with complex motions [17], [18] and is more accurate in realistic ISAR imaging applications of nonuniformly rotating targets. For the CPS model, the above estimation algorithms for the LFM signal are no longer applicable [12]- [22].…”

mentioning

confidence: 99%

ISAR Imaging of Nonuniformly Rotating Target Based on a Fast Parameter Estimation Algorithm of Cubic Phase Signal

Zheng

Zhu

et al. 2015

IEEE Trans. Geosci. Remote Sensing

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In inverse synthetic aperture radar (ISAR) imaging of nonuniformly rotating targets, such as highly maneuvering airplanes and ships fluctuating with oceanic waves, azimuth echoes have to be modeled as cubic phase signals (CPSs) after the range migration compensation and the translational-induced phase error correction. For the CPS model, the chirp rate and the quadratic chirp rate, which deteriorate the azimuth focusing quality due to the Doppler frequency shift, need to be estimated with a parameter estimation algorithm. In this paper, by employing the proposed generalized scaled Fourier transform (GSCFT) and the nonuniform fast Fourier transform (NUFFT), a fast parameter estimation algorithm is presented and utilized in the ISAR imaging of the nonuniformly rotating target. Compared to the scaled Fourier transform-based algorithm, advantages of the fast parameter estimation algorithm include the following: 1) the computational cost is lower due to the utilization of the NUFFT, and 2) the GSCFT has a wider applicability in ISAR imaging applications. The CPS model and the algorithm implementation are verified with the real radar data of a ship target. In addition, the cross-term, which plays an important role in correlation algorithms, is analyzed for the fast parameter estimation algorithm. Through simulations of the synthetic data and the real radar data, we verify the effectiveness of the fast parameter estimation algorithm and the corresponding ISAR imaging algorithm.Index Terms-Cubic phase signal (CPS), generalized scaled Fourier transform (GSCFT), inverse synthetic aperture radar (ISAR), nonuniform fast Fourier transform (NUFFT).

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confidence: 99%

ISAR Imaging of Nonuniformly Rotating Target Based on a Fast Parameter Estimation Algorithm of Cubic Phase Signal

Zheng

Zhu

et al. 2015

IEEE Trans. Geosci. Remote Sensing

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“…In this case, coefficients of the CPF signal are estimated. According to previous studies, several algorithms for quadratic and cubic coefficient estimation can be retrieved, such as higher-order ambiguity function-integrated cubic phase function [34], scaled Fourier transform [35], keystone time-chirp rate distribution (KTCRD) [12], and chirp rate-quadratic chirp rate distribution [13]. Similarly, these algorithms transform a discrete signal into a two-dimensional parameter domain whose two dimensions represent quadratic and cubic coefficients, respectively.…”

Section: Properties Of the Pps And Rotational Nonuniformity Estimationmentioning

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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“…In this section, we will employ the analytical method utilized in Ref. 34 to discuss the selection criterion of the zoom factor ξ in detail.…”

Section: Selection Criterion Of the Zoom Factormentioning

confidence: 99%

“…Based on the analyses in Ref. 34, in order to obtain a balance between Eq. (11) and the estimation precision, 11,29 we suggest ξ ¼ 4F ϒ ∕N for CFCRD.…”

mentioning

confidence: 99%

Inverse synthetic aperture radar imaging of targets with nonsevere maneuverability based on the centroid frequency chirp rate distribution

Zheng

et al. 2015

J. Appl. Remote Sens

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Abstract. For inverse synthetic aperture radar (ISAR) imaging of targets with nonsevere maneuverability, the Doppler frequencies of scatterers are actually time-varying and azimuth echoes of a range cell have to be modeled as multicomponent linear frequency modulation (LFM) signals after the range alignment and the phase adjustment. In ISAR imaging with the LFM signal model, the chirp rate deteriorates the target image and an effective parameter estimation algorithm is required. By employing a symmetric instantaneous self-correlation function and the modified scaled Fourier transform, an effective parameter estimation algorithm, known as the centroid frequency chirp rate distribution (CFCRD), is proposed and applied to ISAR imaging. Compared to two representative parameter estimation algorithms, the modified Wigner-Ville distribution and the Lv's distribution, the proposed CFCRD can acquire a higher antinoise performance without spectrum aliasing and brute-force searching. Through simulations and analyses of the synthetic radar data and the real radar data, we verify the effectiveness of CFCRD and the corresponding ISAR imaging algorithm.

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ISAR Imaging of a Ship Target Based on Parameter Estimation of Multicomponent Quadratic Frequency-Modulated Signals

Cited by 113 publications

References 14 publications

ISAR Imaging of Nonuniformly Rotating Target Based on a Fast Parameter Estimation Algorithm of Cubic Phase Signal

ISAR Imaging of Nonuniformly Rotating Target Based on a Fast Parameter Estimation Algorithm of Cubic Phase Signal

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

Inverse synthetic aperture radar imaging of targets with nonsevere maneuverability based on the centroid frequency chirp rate distribution

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