ISAR Imaging of Maneuvering Target Based on the Local Polynomial Wigner Distribution and Integrated High-Order Ambiguity Function for Cubic Phase Signal Model

Wang, Yong; Kang, Jian; Jiang, Yicheng

doi:10.1109/jstars.2014.2301158

Cited by 76 publications

(45 citation statements)

References 50 publications

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“…To clearly demonstrate the advantages of the proposed approach over the existing methods, we also compare the proposed method with the parameter estimation-based algorithms. Figure 10e,f provide the 2-D SAR images obtained by the IHAF-ICPF method [7], CIGCPF-CICPF method [9] at SNR = 5 dB. It is observed that ship shape is generated by those two approaches, but they are not free of residual interference.…”

Section: Simulation Results and Analysismentioning

confidence: 99%

“…( a ) STFT algorithm in [10]; ( b ) WVD algorithm in [12]; ( c ) SPWVD method in [13]; ( d ) RCD method in [15]; ( e ) IHAF-ICPF method in [7]; ( f ) CIGCPF-CICPF method in [9]; ( g ) our proposed method.…”

Section: Figurementioning

confidence: 99%

“…Recently, a new ISAR strategy termed Range Instantaneous Doppler (RID) algorithm was proposed to produce ISAR image of a maneuvering target [7,8,9,10,11,12,13,14,15,16]. The RID algorithms are usually divided into two groups.…”

Section: Introductionmentioning

confidence: 99%

“…The RID algorithms are usually divided into two groups. The first group is the parametric approach, where the received signal in a range bin is modeled by a special signal [7,8,9], and based on that, the instantaneous Doppler frequency is estimated and the corresponding ISAR image is obtained by using the estimated Doppler frequency. However, those approaches require the estimation or extraction of each scatterer in each range cell, which is computationally demanding and inefficient.…”

Section: Introductionmentioning

confidence: 99%

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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.

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Section: Simulation Results and Analysismentioning

confidence: 99%

Section: Figurementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

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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show abstract

“…In this section, the input-output signal-to-noise ratio (SNR) [35][36][37] and the mean square error 26,[37][38][39] are utilized to evaluate the antinoise performance of CFCRD. Example 2: A monocomponent LFM signal Bu, which is contaminated with the zero-mean complex white Gaussian noise, is taken into account in this example.…”

Section: Antinoise Performancementioning

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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Research Progress of Inverse Synthetic Aperture Radar (ISAR) Imaging of Moving Target via Quadratic Frequency Modulation (QFM) Signal Model

Wang

Liu

Zhang

2019

Lecture Notes in Electrical Engineering

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ISAR Imaging of Maneuvering Target Based on the Local Polynomial Wigner Distribution and Integrated High-Order Ambiguity Function for Cubic Phase Signal Model

Cited by 76 publications

References 50 publications

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

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

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

Research Progress of Inverse Synthetic Aperture Radar (ISAR) Imaging of Moving Target via Quadratic Frequency Modulation (QFM) Signal Model

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