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PIER PIER B PIER C PIER M PIER Letters PIER Photonics
2019-12-12
Multistatic Airborne Passive Synthetic Aperture Radar Imaging Based on Two-Level Block Sparsity
By
Lele Qu,

    Dr. Lele Qu

    College of Electronic Information Engineering

    Shenyang Aerospace University

    China

    Homepage

Yu Liu

    Dr. Yu Liu

    College of Electronic Information Engineering

    Shenyang Aerospace University

    China

    Homepage

Progress In Electromagnetics Research M, Vol. 87, 93-102, 2019
doi:10.2528/PIERM19093003 | Google Scholar

Abstract
Available of multiple illuminators in a multistatic airborne passive synthetic aperture radar (SAR) system can enhance SAR imaging quality. In this paper, a new imaging algorithm based on two-level block sparsity for a multistatic airborne passive SAR system is proposed. The proposed imaging algorithm named by two-level block matching pursuit (BMP) algorithm utilizes both the spatially clustered property of observed targets and joint sparsity of the multistatic observation, i.e. two-level block sparsity to achieve imaging reconstruction of an observed scene. The simulation results show that the proposed two-level BMP imaging algorithm for the multistatic airborne passive SAR system can reduce imaging reconstruction time and provide enhanced imaging reconstruction quality compared to the state-of-the-art structured sparse imaging algorithm.
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Citation
Lele Qu, and Yu Liu, "Multistatic Airborne Passive Synthetic Aperture Radar Imaging Based on Two-Level Block Sparsity," Progress In Electromagnetics Research M, Vol. 87, 93-102, 2019.
doi:10.2528/PIERM19093003
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