文章基本信息

标题：An Accurate Parameter Estimator for LFM Signals Based on Zoom Modified Discrete Chirp Fourier Transform
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作者：Jun Song ; Yihan Xu ; Guanghao Li 等
期刊名称：IAENG International Journal of Computer Science
印刷版ISSN：1819-656X
电子版ISSN：1819-9224
出版年度：2019
卷号：46
期号：3
页码：467-474
出版社：IAENG - International Association of Engineers
摘要：An accurate parameter estimation of chirprate and initial frequency of the linear frequency modulation(LFM) signals based on zoom modified discrete chirp Fouriertransform (MDCFT) is investigated. The first step of theproposed algorithm returns a coarse estimate of the parameterby addressing the maximum MDCFT coefficient of a LFMsignal. The coarse estimate is refined by fine search namedzoom MDCFT (Zoom-MDCFT) in the second step. Comparedto traditional brute fine search approaches, Zoom-MDCFTmethod has merit in high efficiency because it utilizes moreprior information about the MDCFT results, thus requiringfewer extra computations. Finally, computer simulations areconducted to evaluate the performance by comparison withthe Cramer–Rao lower bound. The proposed estimator showsaccurate and robust performance with the addition in theadditive white Gaussian noise.
关键词：Parameter estimation; Modified discrete chirp;Fourier transform; Linear frequency modulation;Zoom-MDCFT