• DocumentCode
    2019438
  • Title

    Chirplet Based Denoising of Reflected RADAR Signals

  • Author

    Amiri, Reza ; Alaee, Mohammad ; Rahmani, Hussein ; Firoozmand, Mohsen

  • Author_Institution
    Dept. of Electr. Eng., Imam Hussein Univ., Tehran
  • fYear
    2009
  • fDate
    25-29 May 2009
  • Firstpage
    304
  • Lastpage
    308
  • Abstract
    In this paper we propose a new denoising method of radar reflected signals. Using signal processing techniques such as the short time Fourier transform (STFT) and the chirplet transform, various parameters of signal can be extract. In this paper we can obtain the signal´s parameter by using the chirplet transformation as a tool to denoise the signals. We have already tested this algorithm on the real data and have obtained chirplet transformation has the perfect results on system identification by denoising returned signal.
  • Keywords
    Fourier transforms; radar signal processing; signal denoising; time-frequency analysis; chirplet transform; denoising method; radar reflected signal; short time Fourier transform; signal parameter; signal processing technique; time frequency domain; Chirp; Fourier transforms; Gaussian noise; Noise reduction; Radar antennas; Radar scattering; Radar signal processing; Signal analysis; Signal processing; Signal processing algorithms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Modelling & Simulation, 2009. AMS '09. Third Asia International Conference on
  • Conference_Location
    Bali
  • Print_ISBN
    978-1-4244-4154-9
  • Electronic_ISBN
    978-0-7695-3648-4
  • Type

    conf

  • DOI
    10.1109/AMS.2009.54
  • Filename
    5072001