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作 者:XIE Yizhuang ZHU Bocheng YAN Wen ZHANG Weijie
机构地区:[1]School of Information and Electronics,Beijing Institute of Technology [2]School of Electronics Engineering and Computer Science,Peking University [3]Science and Technology on Electronic Information Control Laboratory
出 处:《Chinese Journal of Electronics》2014年第3期645-648,共4页电子学报(英文版)
摘 要:Synthetic aperture radar (SAR) imaging system is generally realized by fixed-point with the purpose of reducing system implementation scale and enhancing real-time performance. Finite word length computing error of fixed-point SAR imaging system is studied. The characteristic of computing error in SAlt imaging system is analyzed. A finite word length computing error model of SAR imaging system is built, by means of which the empirical formula of system's output noise-to-signal ratio is derived. Based on the empirical formula, SAR imaging system processing word length is presented according to different processing granularities. The validity of this proposed finite word length computing error model of SAR imaging system is verified by system level fixed-point sivaulation.Synthetic aperture radar(SAR) imaging system is generally realized by fixed-point with the purpose of reducing system implementation scale and enhancing real-time performance. Finite word length computing error of fixed-point SAR imaging system is studied. The characteristic of computing error in SAR imaging system is analyzed. A finite word length computing error model of SAR imaging system is built, by means of which the empirical formula of system's output noise-to-signal ratio is derived. Based on the empirical formula, SAR imaging system processing word length is presented according to different processing granularities. The validity of this proposed finite word length computing error model of SAR imaging system is verified by system level fixed-point simulation.
关 键 词:Synthetic aperture radar (SAR) imaging Finite word length Analysis of computing error
分 类 号:TN957.52[电子电信—信号与信息处理]
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