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
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