Application of evolution programming for blind equalization

This paper presents an application of evolution programming (EP) for blind equalization (BE). A signal transmitted over a distorting channel needs equalization to be reproduced. BE is a good option when no training signal is available. The finite size of the source alphabet is exploited to implement...

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Bibliographic Details
Main Authors: Rao Nelatury, S., Rao, S.S.
Format: Conference Proceeding
Language:English
Subjects:
Application software
Blind equalizers
Context
Cost function
Digital communication
Distortion
Genetic programming
Intersymbol interference
Predistortion
Sampling methods
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Summary:This paper presents an application of evolution programming (EP) for blind equalization (BE). A signal transmitted over a distorting channel needs equalization to be reproduced. BE is a good option when no training signal is available. The finite size of the source alphabet is exploited to implement a block-processing scheme based on EP for designing blind equalizers. The problem reduces to optimizing a multimodal multivariable cost function. The search is made more effective by varying a radix used to represent the species. To ensure a unique solution some constraints are used in the generation process of the offspring.
ISSN:1058-6393
2576-2303
DOI:10.1109/ACSSC.2000.910667