ISAR Imaging of Nonuniformly Rotating Target Based on the Multicomponent CPS Model Under Low SNR Environment

Liu, Dong; Zhan, Muyang; Zhang, Xinzheng; Fang, Zhiping; Liu, Hongqing

doi:10.1109/taes.2017.2667538

Cited by 37 publications

(13 citation statements)

References 27 publications

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“…Step 5 During the elimination of multicomponent CPSs, the CLEAN technique is utilized [14][15][16][17]19,20].…”

Section: Nonuniformly Rotating Ship Refocusing Based On Befrftmentioning

confidence: 99%

“…We utilized the CPS estimators to obtain the refocused ship images. Here, we utilize the entropy [5,[14][15][16][17]19,20] and contrast [5] to assess image quality in Figure 9. An image with a smaller entropy has better image quality.…”

Section: Nonuniformly Rotating Ship Refocusing With Simulated Datamentioning

confidence: 99%

“…For violently rotating ships, the received signal can be modeled as a multicomponent cubic phase signal (CPS) in [14][15][16][17][18][19][20]. Many cubic phase functions (CPF) [14][15][16][19][20][21][22] were proposed to estimate the parameters of CPSs. In order to reduce cross-terms and enhance auto-terms, the product operation [16] and integrate operation [12,17] were proposed.…”

Section: Introductionmentioning

confidence: 99%

“…However, under a rough sea situation with a low signal-to-noise ratio (SNR), the above operations also accumulate noise, which disturbs the detection of auto-terms and causes a bad antinoise performance. The coherent integration was utilized in the coherently integrated generalized cubic phase function (CIGCPF) [19] and the coherently integrated modified cubic phase function (CIMCPF) [20] for a better antinoise performance. With the characteristics of auto-terms parallel to the time axis, the coherent integration utilizes fast Fourier transform (FFT) to separate auto-terms, cross-terms and noise.…”

Section: Introductionmentioning

confidence: 99%

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Nonuniformly-Rotating Ship Refocusing in SAR Imagery Based on the Bilinear Extended Fractional Fourier Transform

Fan

Zhang

2020

Sensors

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Nonuniformly-rotating ship refocusing is very significant in the marine surveillance of satellite synthetic aperture radar (SAR). The majority of ship imaging algorithms is based on the inverse SAR (ISAR) technique. On the basis of the ISAR technique, several parameter estimation algorithms were proposed for nonuniformly rotating ships. But these algorithms still have problems on cross-terms and noise suppression. In this paper, a refocusing algorithm for nonuniformly rotating ships based on the bilinear extended fractional Fourier transform (BEFRFT) is proposed. The ship signal in a range bin can be modeled as a multicomponent cubic phase signal (CPS) after motion compensation. BEFRFT is a bilinear extension of fractional Fourier transform (FRFT), which can estimate the chirp rates and quadratic chirp rates of CPSs. Furthermore, BEFRFT has excellent performances on cross-terms and noise suppression. The results of simulated data and Gaofen-3 data verify the effectiveness of BEFRFT.

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“…Step 5 During the elimination of multicomponent CPSs, the CLEAN technique is utilized [14][15][16][17]19,20].…”

Section: Nonuniformly Rotating Ship Refocusing Based On Befrftmentioning

confidence: 99%

Section: Nonuniformly Rotating Ship Refocusing With Simulated Datamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Nonuniformly-Rotating Ship Refocusing in SAR Imagery Based on the Bilinear Extended Fractional Fourier Transform

Fan

Zhang

2020

Sensors

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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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Parameters estimation method and ISAR imaging of multi-target with complex maneuvering

Chen

2023

J Supercomput

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ISAR Imaging of Nonuniformly Rotating Target Based on the Multicomponent CPS Model Under Low SNR Environment

Cited by 37 publications

References 27 publications

Nonuniformly-Rotating Ship Refocusing in SAR Imagery Based on the Bilinear Extended Fractional Fourier Transform

Nonuniformly-Rotating Ship Refocusing in SAR Imagery Based on the Bilinear Extended Fractional Fourier Transform

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

Parameters estimation method and ISAR imaging of multi-target with complex maneuvering

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