Title :
Blind equalization based on immune optimized genetic algorithm
Author :
Liu, Feng ; Ge, Lin-dong ; Wu, Ye-jin ; Li, Jia-ming
Author_Institution :
Zhengzhou Inf. Sci. & Technol. Inst., Zhengzhou
Abstract :
The blind equalization can be seen as an optimization task of cost function. A new blind equalization algorithm using immune optimization with genetic operators is presented. The coefficients of a blind equalizer are regarded as the antibodies of a population and the optimal solutions can be obtained by replication, mutation and suppression. The effectiveness of the proposed algorithm is proved via simulations.
Keywords :
artificial immune systems; blind equalisers; genetic algorithms; blind equalization algorithm; cost function; genetic algorithm; immune optimization; Baseband; Blind equalizers; Convergence; Cost function; Data communication; Digital communication; Genetic algorithms; Genetic mutations; Information science; Intersymbol interference;
Conference_Titel :
Signal Processing, 2008. ICSP 2008. 9th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-2178-7
Electronic_ISBN :
978-1-4244-2179-4
DOI :
10.1109/ICOSP.2008.4697469
