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• W4383960268 abstract "The presence of blanket jamming, a typical form of airborne synthetic aperture radar (SAR) jamming, causes incoherent signals with strong power to enter the airborne SAR receiver, which significantly reduces the signal-to-noise ratio (SNR) of airborne SAR images and dramatically influences the imaging effect of airborne SAR. In this manuscript, an airborne SAR anti-blanket interference algorithm based on fractional order Fourier transform (FRFT) and second order blind identification (SOBI) is proposed. Firstly, a geometrical model for airborne SAR imaging under a blanket interference condition is developed. Then, a blind signal separation (BSS) algorithm using SOBI is presented. Finally, to solve the problem of separation uncertainty of the existing BSS algorithms, the FRFT is used for signal identification. This method uses the SOBI algorithm to perform the BSS algorithm. Considering that FRFT can detect linear frequency modulation (LFM) signals emitted by airborne SAR, FRFT is used to solve the disadvantages of the current BSS methods. This algorithm separates signals with a high degree of similarity and performs well in terms of blanket jamming suppression. Simulation and measured experiments prove the validity of the algorithm." @default.
• W4383960268 created "2023-07-12" @default.
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• W4383960268 date "2023-01-01" @default.
• W4383960268 modified "2023-10-17" @default.
• W4383960268 title "Airborne SAR Suppression of Blanket Jamming Based on Second Order Blind Identification and Fractional Order Fourier Transform" @default.
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• W4383960268 doi "https://doi.org/10.1109/tgrs.2023.3294236" @default.
• W4383960268 hasPublicationYear "2023" @default.
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