DocumentCode :
2885930
Title :
Direct-form adaptive equalization using soft information
Author :
Yellepeddi, Atulya ; Preisig, James C.
Author_Institution :
M.I.T.-W.H.O.I. Joint Program, Electr. Eng./Appl. Ocean Sci. & Eng., Massachusetts Inst. of Technol., Cambridge, MA, USA
fYear :
2011
fDate :
28-30 Sept. 2011
Firstpage :
461
Lastpage :
468
Abstract :
The problem of adapting the coefficients of a direct- form adaptive equalizer using soft information is investigated. An algorithm for the adaptation of equalizer coefficients when the transmitted symbol sequence is unknown at the receiver is derived. The resulting adaptation procedure also takes into account prior probabilities of the symbols, which may be available, for instance, in a turbo equalization setting. The starting point of the derivation is the expectation-maximization algorithm, which is then simplified into a purely recursive form with low complexity. An equalizer that uses the adaptation algorithm and a turbo system with this equalizer are derived, and the performance improvement afforded by these is demonstrated both by simulation and by tests with the data from the SPACE08 and KAM11 underwater acoustic communication experiments.
Keywords :
adaptive equalisers; expectation-maximisation algorithm; probability; KAM11 underwater acoustic communication experiment; SPACE08 underwater acoustic communication experiment; direct-form adaptive equalization; equalizer coefficients; expectation-maximization algorithm; soft information; symbol probability; symbol sequence; turbo equalization setting; Adaptive equalizers; Algorithm design and analysis; Least squares approximation; Maximum likelihood estimation; Technological innovation; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communication, Control, and Computing (Allerton), 2011 49th Annual Allerton Conference on
Conference_Location :
Monticello, IL
Print_ISBN :
978-1-4577-1817-5
Type :
conf
DOI :
10.1109/Allerton.2011.6120203
Filename :
6120203
Link To Document :
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