• DocumentCode
    3447191
  • Title

    The reception and separation of simultaneous signals with broadband

  • Author

    Kun Liu ; Xinghao Zhao ; Shupeng Lv ; Yu Luo ; Ran Tao

  • Author_Institution
    Sch. of Inf. & Electron., Beijing Inst. of Technol., Beijing, China
  • fYear
    2012
  • fDate
    16-18 Oct. 2012
  • Firstpage
    1861
  • Lastpage
    1865
  • Abstract
    This paper has proposed a method of the reception and separation of the simultaneous signals with broadband in the channelized receiver. For all kinds of situation which simultaneous signals may arise in channelized receiver, first we design two kinds of filters according to the theory of the signal reconstruction and derive the fast algorithm to reconstruct the divided signals. And then we make self-related accumulation for the spectrum of reconstructed signal and extract each the complete signal component from simultaneous signals. This method could make the channelized receiver receive the different kinds of simultaneous signals which are non-overlapped in the frequency domain under the condition of low signal to noise ratio (SNR). At last this paper has verified the effectiveness of the method though the simulation.
  • Keywords
    filtering theory; frequency-domain analysis; signal reconstruction; SNR; channelized receiver; filter design; frequency-domain analysis; low signal to noise ratio; self-related accumulation; signal component; signal reconstruction; simultaneous signal reception; simultaneous signal separation; Binary phase shift keying; Digital filters; Equations; Low pass filters; Receivers; Signal reconstruction; Signal to noise ratio; reception and separation; self-correlation; signal reconstruction; simultaneous signals;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image and Signal Processing (CISP), 2012 5th International Congress on
  • Conference_Location
    Chongqing
  • Print_ISBN
    978-1-4673-0965-3
  • Type

    conf

  • DOI
    10.1109/CISP.2012.6469902
  • Filename
    6469902