Detection and parameter estimation of multicomponent LFM signal based on the fractional Fourier transform

Lin Qi*, Ran Tao, Siyong Zhou, Yue Wang

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

294 Citations (Scopus)

Abstract

This paper presents a new method for the detection and parameter estimation of multicomponent LFM signals based on the fractional Fourier transform. For the optimization in the fractional Fourier domain, an algorithm based on Quasi-Newton method is proposed which consists of two steps of searching, leading to a reduction in computation without loss of accuracy. And for multicomponent signals, we further propose a signal separation technique in the fractional Fourier domain which can effectively suppress the interferences on the detection of the weak components brought by the stronger components. The statistical analysis of the estimate errors is also performed which perfects the method theoretically, and finally, simulation results are provided to show the validity of our method. Copyright by Science in China Press 2004.

Original languageEnglish
Pages (from-to)184-198
Number of pages15
JournalScience in China, Series F: Information Sciences
Volume47
Issue number2
DOIs
Publication statusPublished - Apr 2004

Keywords

  • Fractional Fourier transform
  • LFM signal
  • Parameter estimation

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