DocumentCode :
3417157
Title :
Direct Blind Signal Detection Based on Improved Ant Colony Algorithm
Author :
Yu, Shujuan ; Niu, Hairong ; Yu, Chuang
Author_Institution :
Coll. of Electron. Sci. & Eng., Nanjing Univ. of Posts & Telecommun., Nanjing, China
Volume :
3
fYear :
2010
fDate :
23-24 Oct. 2010
Firstpage :
573
Lastpage :
577
Abstract :
Blind signal detection by basic ant colony optimization algorithm which is limited to slow convergence speed and local optimum. An improved ant colony optimization algorithm of the direct blind signal detection is proposed in this paper. The algorithm adjusts the pheromone update methods of ant colony algorithm, adds the corresponding parameter control in the local update rule and the global update rule of pheromone. Simulation results show that the improved algorithm has fast convergence speed and stable performance compared with the literature algorithms.
Keywords :
blind source separation; optimisation; signal detection; direct blind signal detection; global update rule; improved ant colony optimization algorithm; local update rule; pheromone update methods; Ant colony optimization; Bit error rate; Equations; Gallium; Mathematical model; Optimization; Signal processing algorithms; ant colony optimization algorithms; blind detection; blind equalization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Artificial Intelligence and Computational Intelligence (AICI), 2010 International Conference on
Conference_Location :
Sanya
Print_ISBN :
978-1-4244-8432-4
Type :
conf
DOI :
10.1109/AICI.2010.358
Filename :
5656623
Link To Document :
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