Isar Imaging Based on Iterative Reweighted Lp Block Sparse Reconstruction Algorithm

Feng, Jundong; Zhang, Gong

doi:10.2528/pierm16041501

Cited by 3 publications

(2 citation statements)

References 21 publications

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“…The smaller the data missing rate, the better the reconstruction effect. In the case of the same data miss rate, the image compensation and recovery effect when the data are random missing is better than when the data are block missing because the coherence between data is damaged more seriously if the data are block missing [22].To sum up, the algorithm in this paper is superior to the other two algorithms.…”

Section: Performance Verification Of the Algorithm In Different Cases...mentioning

confidence: 86%

Bistatic ISAR sparse aperture maneuvering target translational compensation imaging algorithm

Zhu¹,

Hu²,

Guo³

et al. 2022

RADIOENGINEERING

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For bistatic inverse synthetic aperture radar (Bi-ISAR), the non-uniform motion state of maneuvering target and the time-varying bistatic angle make the traditional imaging method of moving target face the problem of translation compensation, and the traditional translation compensation method is not suitable for the return wave in the case of sparse aperture. In this paper, a compensation imaging method combining two-dimension joint linearized Bregman iteration and image contrast search is proposed. The translation compensation problem can be transformed into two-dimension joint compressed sensing sparse reconstruction and moving target motion parameter estimation.The proposed algorithm makes use of the gain of echo twodimension compression, greatly improves the accuracy of translation compensation and the quality of target image and has stronger robustness to noise. The processing results of simulation data verify the effectiveness and superiority of the algorithm.

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Section: Performance Verification Of the Algorithm In Different Cases...mentioning

confidence: 86%

Bistatic ISAR sparse aperture maneuvering target translational compensation imaging algorithm

Zhu¹,

Hu²,

Guo³

et al. 2022

RADIOENGINEERING

View full text Add to dashboard Cite

show abstract

“…Horizontally, the smaller the data missing rate, the better the reconstruction effect. Under the same data missing rate, the effect of image compensation and reconstruction with random missing is better than that with block missing as the coherence between data is damaged more seriously due to block missing [28–30]. To sum up, the compensation and imaging effect of the proposed algorithm is better than the other two algorithms under different data missing conditions and high missing rates, which shows its superiority .…”

Section: Simulation Experimentsmentioning

confidence: 99%

A bistatic inverse synthetic aperture radar sparse aperture high‐resolution imaging algorithm with migration compensation

Zhu

Guo

et al. 2022

IET Radar Sonar & Navi

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In recent years, bistatic inverse synthetic aperture radar (Bi‐ISAR) imaging of targets with sparse aperture has attracted more and more attention. One of the critical issues is that the Bi‐ISAR imaging of some large targets with rotational motions is prone to migration through resolution cells, which increases the imaging difficulty. In order to enhance the compensation for through resolution cell migration in those scenarios and improve the accuracy and resolution of Bi‐ISAR images under sparse aperture, that is, improving the target recognition of Bi‐ISAR, the authors aimed at the high‐order migration term and the high‐order phase error term and proposed a Bi‐ISAR sparse aperture high‐resolution imaging algorithm based on complex Bayesian compressed sensing and frequency resampling. The algorithm was solved by ‘distributed’ iteration. The migration compensation under the sparse aperture conditions was completed, and the quality of the reconstructed images was improved. Simulation results verified the effectiveness and superiority of the proposed algorithm.

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Direct Inversion Method of Brittleness Parameters Based on Reweighted Lp-Norm

Chen

Pan

et al. 2022

Applied Sciences

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Brittleness is an important factor that indicates shale properties, as well as fracturability, and it can be well-represented using the elasticity parameter Eρ. Seismic inversion allows direct access to the Eρ ofbrittleness parameters. Seismic inversion is a typical ill-posed problem that has an enormous multiplicity of solutions. In order to invert reservoir brittleness parameters more stably and reliably, a direct inversion method for determining brittleness parameters based on a reweighted Lp-norm is proposed, and the reweighted Lp method is introduced to brittleness parameter inversion for the first time. The alternating direction method of multipliers (ADMM) is used to establish the inversion structure and to optimize the objective function in blocks, which effectively improves the convergence speed. We first introduce a reweighted Lp method and establish a pre-stack inversion objective function based on the reweighted Lp method. Then, theoretical simulation data are applied to compare the inversion outcomes of the new method with those of the traditional method, and the effect of the method in this manuscript is verified. Finally, the feasibility of this method is further verified using actual data for experimental analysis. Through an analysis of the experimental results, we find that this method can be well-applied to seismic pre-stack inversion calculation and provides a new direct inversion method for the determination of brittleness parameters for exploration geophysics.

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Isar Imaging Based on Iterative Reweighted Lp Block Sparse Reconstruction Algorithm

Cited by 3 publications

References 21 publications

Bistatic ISAR sparse aperture maneuvering target translational compensation imaging algorithm

Bistatic ISAR sparse aperture maneuvering target translational compensation imaging algorithm

A bistatic inverse synthetic aperture radar sparse aperture high‐resolution imaging algorithm with migration compensation

Direct Inversion Method of Brittleness Parameters Based on Reweighted Lp-Norm

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