• DocumentCode
    153798
  • Title

    Particle Filter Based Inversion of Nonlinear Satcom Channels

  • Author

    Qureshi, Muhammad E. ; Wilson, Stephen G.

  • Author_Institution
    Dep´t of Elec & Comp Eng., Univ. of Virginia, Charlottesville, VA, USA
  • fYear
    2014
  • fDate
    6-8 Oct. 2014
  • Firstpage
    604
  • Lastpage
    609
  • Abstract
    Bidirectional satellite communication between earth terminals on the same frequency at the same time is an emerging means of doubling spectral efficiency on satellite channels. With a linear satellite repeater, cancellation of self-interference can be done with standard echo cancelling methods. However, satellite amplifiers are normally operated in a highly-nonlinear regime, for maximum power output, and this complicates the interference removal process. This paper studies a particle filter based algorithm for ´inverting´ the nonlinearity at the receiving terminal, making the resulting channel roughly linear, so echo cancelation again becomes attractive. The particle filtering approach approximates the MMSE estimate of the input signal, given the output sequence. This output sequence is followed by a matched filter and an adaptive echo canceller to remove the co-channel interference.
  • Keywords
    cochannel interference; interference suppression; least mean squares methods; particle filtering (numerical methods); radio repeaters; satellite ground stations; Earth terminals; MMSE estimation; adaptive echo canceller; bidirectional satellite communication; co-channel interference removal; highly-nonlinear regime; interference removal process; linear satellite repeater; matched filter; maximum power output; nonlinear satcom channels; particle filter-based inversion; satellite amplifiers; satellite channels; self-interference cancellation; spectral efficiency; standard echo cancelling method; Mathematical model; Receivers; Relays; Satellites; Signal to noise ratio; Transmitters;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Military Communications Conference (MILCOM), 2014 IEEE
  • Conference_Location
    Baltimore, MD
  • Type

    conf

  • DOI
    10.1109/MILCOM.2014.107
  • Filename
    6956828