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• W2983970962 abstract "In this paper, basis pursuit denoising (BPDN) is applied to extract three-dimensional scattering centers of complex radar targets. Since the distributions of scattering centers are usually sparse in the high-frequency optics region, the valid backscattering coefficients of radar targets can be obtained with the undersampled measurements in azimuth and elevation. It significantly reduces the time for measuring echo signals, which promotes the efficiency of radar systems. However, due to the great computation load and memory cost caused by the matrix-vector products, most of the sparse reconstruction algorithms are not suitable for the process of scattering center extraction. To solve this problem, we derive accelerated operators on the basis of support set and filtered backprojection. By combining the sparse solver SPGL1 with the proposed operators, the new algorithm not only reduces the consumption of system resources, but also estimates the backscattering coefficients accurately. Additionally, the experimental results and analysis demonstrate that the proposed technique possesses high data compression ratio and small radar cross section (RCS) reconstruction error." @default.
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• W2983970962 date "2019-07-01" @default.
• W2983970962 modified "2023-09-24" @default.
• W2983970962 title "3-D Scattering Center Extraction Based on BPDN for Complex Radar Targets" @default.
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• W2983970962 doi "https://doi.org/10.1109/igarss.2019.8898848" @default.
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