• DocumentCode
    104245
  • Title

    Recursive Decimation/Interpolation for ML Chirp Parameter Estimation

  • Author

    Baggenstoss, Paul M.

  • Author_Institution
    Naval Undersea Warfare Center, Newport, RI, USA
  • Volume
    50
  • Issue
    1
  • fYear
    2014
  • fDate
    Jan-14
  • Firstpage
    445
  • Lastpage
    455
  • Abstract
    We present a fast implementation of the optimal linear processor for “chirp” signals with O(N2) computational load for data length N. The method is technically an approximation since it has an interpolation step but we show that the errors are negligible. In simulations it performs up to 20 times faster than the existing method using radix-2 fast Fourier transform (FFT) and has significantly lower threshold signal-to-noise ratio (SNR) against noise and interference compared with a leading fast method.
  • Keywords
    approximation theory; fast Fourier transforms; interpolation; signal processing; ML chirp parameter estimation; O(N2) computational load; approximation; optimal linear processor; radix-2 fast Fourier transform; recursive decimation; recursive interpolation; Chirp; Correlation; Interpolation; Parameter estimation; Signal to noise ratio; Transforms;
  • fLanguage
    English
  • Journal_Title
    Aerospace and Electronic Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9251
  • Type

    jour

  • DOI
    10.1109/TAES.2013.120677
  • Filename
    6809927
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=104245