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Parameters Estimation of LFMCW Signals Based on Periodic Fractional Fourier Transform

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  • Ying Liu
  • Dianren Chen
  • Lei Chen

Abstract

When using fractional Fourier transform (FrFT) to detect and estimate linear frequency-modulated continuous wave radar signals, two problems will appear- multiple peaks occur in FRFT image and the output SNR at the true parameter values does not increase when the observation time is longer than the signals period. A multiple period LFMCW signals parameters estimation method based on period FRFT (PFRFT) is studied in this paper. The PFRFT formula of multiple period LFMCW signals is given. The relationship among PFRFT output SNR, observation time and sample signals SNR is analyzed. The estimation accuracy formula of PFRFT is derived. At last, numerical simulation shows the effectiveness of the algorithm and PFRFT is superior to FRFT for estimating a multiple periods LFMCW signals. Â

Suggested Citation

  • Ying Liu & Dianren Chen & Lei Chen, 2014. "Parameters Estimation of LFMCW Signals Based on Periodic Fractional Fourier Transform," Modern Applied Science, Canadian Center of Science and Education, vol. 8(5), pages 143-143, October.
    • Handle: RePEc:ibn:masjnl:v:8:y:2014:i:5:p:143
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    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

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