DocumentCode
1674524
Title
On linear MMSE based turbo-equalization of nonlinear volterra channels
Author
Benammar, Bouchra ; Thomas, Nathan ; Poulliat, Charly ; Boucheret, Marie-Laure ; Dervin, Mathieu
Author_Institution
INPT-ENSEEIHT/IRIT, Univ. of Toulouse, Toulouse, France
fYear
2013
Firstpage
4703
Lastpage
4707
Abstract
This article deals with Minimum Mean Square Error (MMSE) turbo equalization of nonlinear interference using a volterra series decomposition of the underlying nonlinear channel. Although it has been often argued that linear MMSE based equalization is unsuited for cancelling nonlinear interference, we show that this common belief is not true in a strict sense. By a proper derivation of the linear based MMSE soft equalizer, we are able to show that the underlying structure of the equalizer is equivalent to a Soft Interference Canceller (SIC) treating both the linear and nonlinear interference. Based on these results, approximations are provided for lowering the computational complexity. Links to previously proposed “nonlinear” SIC are emphasized showing that the previously proposed structures are nothing but approximations of a linear MMSE receiver applied to nonlinear ISI channels. Simulations show that significant improvements can be achieved by using the proposed exact and approximate MMSE based turbo-equalizers.
Keywords
approximation theory; interference (signal); interference suppression; iterative methods; least mean squares methods; receivers; satellite communication; telecommunication channels; SIC; computational complexity; linear MMSE receiver; linear MMSE-based turbo-equalization; linear-based MMSE soft equalizer; minimum mean square error turbo equalization; nonlinear SIC; nonlinear Volterra channels; nonlinear channel; nonlinear interference; soft interference canceller; volterra series decomposition; Approximation methods; Bit error rate; Equalizers; Interference; Modulation; Receivers; Satellites; iterative equalization; nonlinear interference; volterra series;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on
Conference_Location
Vancouver, BC
ISSN
1520-6149
Type
conf
DOI
10.1109/ICASSP.2013.6638552
Filename
6638552
Link To Document