Synthetic aperture radar imaging with fractional Fourier transform and channel equalization

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• 作者：M.G. El-Mashed ^{m.elmeshed@yahoo.com}Author Vitae ; O. Zahran ^{osama_zahran@hotmail.com}Author Vitae ; M.I. Dessouky ^{dr_moawad@yahoo.com}Author Vitae ; M. El-Kordy ^{dr_elkordy08@yahoo.com}Author Vitae ; F.E. Abd El-Samie ; ^{fathi_sayed@yahoo.com}Author Vitae
• 关键词：SAR imaging ; FrFT ; RDA ; Inverse filter deconvolution ; LMMSE deconvolution ; Regularized deconvolution
• 刊名：Digital Signal Processing
• 出版年：2013
• 出版时间：January, 2013
• 年：2013
• 卷：23
• 期：1
• 页码：151-175
• 全文大小：4956 K

文摘

This paper investigates the Range-Doppler Algorithm based on the Fractional Fourier Transform (RDA-FrFT) to obtain High-Resolution (HR) images for targets in Synthetic Aperture Radar (SAR) imaging. A mathematical framework for the RDA-FrFT is developed in this paper with closed-form expressions for the range and azimuth compression. The channel effect is considered in this paper for the first time with three inverse techniques to reduce this effect; inverse filter deconvolution, Linear Minimum Mean Square Error (LMMSE) deconvolution, and regularized deconvolution. The performance of the RDA-FrFT is compared with the classical RDA, which is based on the Fourier Transform (FT). Simulation results reveal that the RDA-FrFT offers better focusing capabilities and greater side-lobe reduction ratios. The reflectivity profile obtained with the RDA-FrFT demonstrates a superior performance to the classical RDA. Results show also that the RDA-FrFT gives low Peak Side-Lobe (PSL) and Integrated Side-Lobe (ISL) levels after range and azimuth compression for the detected targets. Finally, the results reveal that the proposed regularized deconvolution technique enhances the performance of the RDA-FrFT significantly if the channel effect is considered.