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
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