A New Variable Momentum Factor Blind Equalization Algorithm

By the analysis of Odd symmetry error Function blind equalization Algorithm (OFA), a New Variable Momentum Factor blind equalization Algorithm (NVMFA) is proposed. The proposed algorithm uses error function with characteristics of odd symmetry to reduce mean square error, in order to further improve...

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Bibliographic Details
Main Authors: Juan-juan Ji, Lan-fang Zhang, Fang-sheng Wu, En-liang Wang, Ye-cai Guo
Format: Conference Proceeding
Language:English
Subjects:
Algorithm design and analysis
Blind equalizers
Convergence
Equations
Mean square error methods
Underwater acoustics
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Summary:By the analysis of Odd symmetry error Function blind equalization Algorithm (OFA), a New Variable Momentum Factor blind equalization Algorithm (NVMFA) is proposed. The proposed algorithm uses error function with characteristics of odd symmetry to reduce mean square error, in order to further improve the performance of the algorithm using variable factors to control the momentum term and to adjust weight of equalizer. Simulation tests with underwater acoustic channel indicate that the proposed algorithm has not only faster convergence rate but also less mean square error.
ISSN:2156-7379
2156-7387
DOI:10.1109/ICIECS.2010.5677695