• DocumentCode
    1928630
  • Title

    A new approach to compress Multicarrier Phase-Coded signals

  • Author

    Mohseni, R. ; Sheikhi, A. ; Shirazi, M. A Masnadi

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Shiraz Univ., Shiraz
  • fYear
    2008
  • fDate
    26-30 May 2008
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Multicarrier Phase Coded signals have been recently introduced to achieve high range resolution in radar systems. As in single carrier phase coded radars, the conventional method for compression of these signals is based on using matched filter or indirect computation of an autocorrelation function. In this paper we propose a new method based on Fast Fourier Transform (FFT) that has lower computational complexity compared to the traditional approach. It has been approved that the proposed method is mathematically equivalent to matched filtering, so there is no processing loss. This approach can also be used to estimate the channel characteristics at any subcarrier frequencies.
  • Keywords
    codes; computational complexity; fast Fourier transforms; radar resolution; channel characteristics; compress multicarrier phase coded signals; computational complexity; fast Fourier transform; matched filtering; subcarrier frequencies; Autocorrelation; Computational complexity; Fast Fourier transforms; Filtering; Frequency estimation; Matched filters; Radar; Signal resolution; Multicarrier Phase Coded signals; OFDM radars; Pulse compression;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Radar Conference, 2008. RADAR '08. IEEE
  • Conference_Location
    Rome
  • ISSN
    1097-5659
  • Print_ISBN
    978-1-4244-1538-0
  • Electronic_ISBN
    1097-5659
  • Type

    conf

  • DOI
    10.1109/RADAR.2008.4720800
  • Filename
    4720800