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- W3080605806 abstract "In this paper, ISAR (Inverse Synthetic Aperture Radar) imaging for multiband passive bistatic radar (PBR) is investigated. To reach finer range resolution without the degradations of the image, we present a novel P-ISAR processing scheme based on Bayesian compressive sensing (CS) that considers the relationship between spectral structure of multichannel signals and measurement matrix. First, sparse representation of PBR signal in the range direction is given by analyzing cross correlation of echo. Then a novel recovery algorithm named as WBSBL (Weighted Block Sparse Bayesian Learning) is proposed and used to the passive ISAR processing scheme. Simulation results show the effectiveness of the proposed scheme which can guarantee the image quality." @default.
- W3080605806 created "2020-09-01" @default.
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- W3080605806 date "2019-12-01" @default.
- W3080605806 modified "2023-09-25" @default.
- W3080605806 title "Multiband Passive ISAR Processing Based on Bayesian Compressive Sensing" @default.
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- W3080605806 doi "https://doi.org/10.1109/icsidp47821.2019.9173486" @default.
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