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초록
영어
ACA (Ant Colony Algorithm) is a smart global random search algorithm, which is combined with blind equalization algorithm. In optimizing and initializing equalizer weight vector, ACA can avoid falling into local extremum easily in Stochastic Gradient Descent Algorithm of CMA and improve the convergence speed and reduce the steady-state mean square error greatly. This paper mainly studies the ACA to initialize the equalizer weight vector and the theory of wavelet transform, comes up with the wavelet blind equalization algorithm based on Ant Colony Optimization (ACA-WTCMA).The simulation results of underwater acoustic channel verify the effectiveness of the algorithm.
목차
Abstract
1. Introduction
2. Ant Colony Algorithm: Principle Analysis & Algorithm Description
2.1. Information System of Ants
2.2. Heredity and Evolvement of Ant Colonies
2.3. Foraging Behavior & Strategies of Ants
3. Basic Principle and Model of Ant Colony Algorithm
4. Basic Theories about Wavelet Transform
5. Blind Equalization Algorithm based on ACA
5.1 Description of ACA-CMA
5.2 Wavelet blind equalization algorithm based on ACO
6. Conclusion
References
1. Introduction
2. Ant Colony Algorithm: Principle Analysis & Algorithm Description
2.1. Information System of Ants
2.2. Heredity and Evolvement of Ant Colonies
2.3. Foraging Behavior & Strategies of Ants
3. Basic Principle and Model of Ant Colony Algorithm
4. Basic Theories about Wavelet Transform
5. Blind Equalization Algorithm based on ACA
5.1 Description of ACA-CMA
5.2 Wavelet blind equalization algorithm based on ACO
6. Conclusion
References
저자정보
참고문헌
자료제공 : 네이버학술정보