Sparse Signal Reconstruction of Inverse Synthetic Aperture Radar based on Intra-Cluster Correlation

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JABBAR RASHIDI ALI; Faramarzi Iman; ENTEZARI RAHIM

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Journal Paper

Paper Information

Journal: TABRIZ JOURNAL OF ELECTRICAL ENGINEERING Year:2020 | Volume:50 | Issue:2 (92) Page(s): 709-722

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Information Journal Paper

Title

Sparse Signal Reconstruction of Inverse Synthetic Aperture Radar based on Intra-Cluster Correlation

Author(s)

JABBAR RASHIDI ALI | Faramarzi Iman | ENTEZARI RAHIM | Issue Writer Certificate

Keywords

Inverse Synthetic Aperture RadarQ1

Bayesian Compressive SamplingQ1

Block Sparse StructureQ1

Intra-Cluster CorrelationQ1

Variational Bayesian InferenceQ1

Abstract

In many practical applications such as Inverse Synthetic Aperture Radar (ISAR), signals have block structure. That is the nonzero entries appear in a number of block (cluster). In these signals, the prior information about the number, size, and location of nonzero blocks is not available. According to continuity pattern of ISAR signal, a neighborhood of the coefficients can be considered for dominant scattering. In this paper, we propose a method to reconstruct ISAR sparse signal based on Bayesian compressive sensing according to Intra-Cluster Correlation between neighboring of dominant scattering points. The sparsity of dominant scattering point not only depended on its hyperparameter, but also on neighboring hyperparameters. The proposed method does not depend on prior knowledge of the block structure. In order to model Intra-Cluster Correlations between neighboring scattering points, a Gaussian prior distribution is used and finally variational Bayesian (VB) inference has been used to learn the hyperparameters and sparse signal estimation. The simulation results show the superiority of the proposed method compared with other methods in terms of the correlation, recovery error, perfect recovery percentage, entropy and image contrast.

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APA: Copy

JABBAR RASHIDI, ALI, Faramarzi, Iman, & ENTEZARI, RAHIM. (2020). Sparse Signal Reconstruction of Inverse Synthetic Aperture Radar based on Intra-Cluster Correlation. TABRIZ JOURNAL OF ELECTRICAL ENGINEERING, 50(2 (92) ), 709-722. SID. https://sid.ir/paper/393300/en

Vancouver: Copy

JABBAR RASHIDI ALI, Faramarzi Iman, ENTEZARI RAHIM. Sparse Signal Reconstruction of Inverse Synthetic Aperture Radar based on Intra-Cluster Correlation. TABRIZ JOURNAL OF ELECTRICAL ENGINEERING[Internet]. 2020;50(2 (92) ):709-722. Available from: https://sid.ir/paper/393300/en

IEEE: Copy

ALI JABBAR RASHIDI, Iman Faramarzi, and RAHIM ENTEZARI, “Sparse Signal Reconstruction of Inverse Synthetic Aperture Radar based on Intra-Cluster Correlation,” TABRIZ JOURNAL OF ELECTRICAL ENGINEERING, vol. 50, no. 2 (92) , pp. 709–722, 2020, [Online]. Available: https://sid.ir/paper/393300/en

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