Soft constraint satisfaction multimodulus blind equalization algorithms

In this letter, a new multimodulus algorithm for blind equalization of complex communication channels is derived by solving a constrained optimization problem with relaxation. The intersymbol interference (ISI) optimization and phase-recovery capabilities of the proposed algorithm are analyzed. It i...

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Bibliographic Details
Published inIEEE signal processing letters Vol. 12; no. 9; pp. 637 - 640
Main Authors Abrar, S., Zerguine, A., Deriche, M.
Format Journal Article
LanguageEnglish
Published New York IEEE 01.09.2005
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Adaptive equalizers
Algorithm design and analysis
blind equalization
Blind equalizers
Communication channels
Computer simulation
Constellation diagram
Constraint optimization
Differential equations
Interference constraints
Intersymbol interference
multimodulus algorithm
reduced constellation algorithm
Signal processing algorithms
soft-constraint satisfaction
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Summary:In this letter, a new multimodulus algorithm for blind equalization of complex communication channels is derived by solving a constrained optimization problem with relaxation. The intersymbol interference (ISI) optimization and phase-recovery capabilities of the proposed algorithm are analyzed. It is shown from computer simulations that superior performance for the derived algorithm over Lin's algorithm is obtained.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISSN:1070-9908
1558-2361
DOI:10.1109/LSP.2005.853042