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
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