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  • 标题:Analysis of parameter estimation using the sampling-type algorithm of discrete fractional Fourier transform
  • 本地全文:下载
  • 作者:Bing Deng ; Jun-bao Luan ; Shi-qi Cui
  • 期刊名称:Defence Technology
  • 印刷版ISSN:2214-9147
  • 出版年度:2014
  • 卷号:10
  • 期号:4
  • 页码:1-7
  • DOI:10.1016/j.dt.2014.06.011
  • 出版社:Elsevier B.V.
  • 摘要:Parameter estimation is analyzed using two kinds of common sampling-type DFRFT (discrete fractional Fourier transform) algorithm. A model of parameter estimation is established. The factors which influence estimation accuracy are analyzed. And the simulation is made to verify the conclusions. From the theoretic analysis and simulation verification, it can be drawn that, for the estimation of chirp-rate and initial frequency, Pei's method [10] is more suitable if the absolute value of chirp-rate is small relatively; Ozaktas' method [9] is more suitable if the absolute value of chirp-rate is large relatively; and the two methods are both workable if the absolute value of chirp-rate is moderate. The scope of moderate chirp-rate can be approximately determined as [40 Hz/s, 110 Hz/s].
  • 关键词:Parameter estimation ; Chirp signal ; Sampling-type DFRFT
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