Genetic Algorithm Applied to Multipath Multiuser Channel Estimation in DS/CDMA Systems

Author

Ciriaco, Fernando ; Abrão, Taufik ; Jeszensky, PaulJean E.

Author_Institution

Dept. de Engenharia Eletrica, State Univ. of Londrina

fYear

2006

fDate

28-31 Aug. 2006

Firstpage

138

Lastpage

142

Abstract

This work analyses a heuristic algorithm based on the genetic evolution theory (GA) applied to multipath multiuser channel estimation (MuChE) in direct sequence code division multiple access (DS/CDMA). Using computer simulations we showed that the proposed GA-MuChE is capable of achieving a normalized mean squared error (MSE) in estimations of the order of 8% for slowly varying multipath fading channels (f_D=17 Hz) and medium system load (ap50%), with lower complexity than the maximum likelihood multiuser channel estimation (ML-MuChE) and gradient methods (gradient descent)

Keywords

channel estimation; code division multiple access; fading channels; genetic algorithms; mean square error methods; multipath channels; multiuser channels; spread spectrum communication; DS-CDMA system; MSE; MuChE; direct sequence code division multiple access; fading channel; genetic evolution theory; heuristic algorithm; multipath multiuser channel estimation; normalized mean squared error; Algorithm design and analysis; Computer errors; Computer simulation; Direct-sequence code-division multiple access; Fading; Genetic algorithms; Heuristic algorithms; Maximum likelihood estimation; Multiaccess communication; Multiuser channels;

fLanguage

English

Publisher

ieee

Conference_Titel

Spread Spectrum Techniques and Applications, 2006 IEEE Ninth International Symposium on

Conference_Location

Manaus-Amazon

Print_ISBN

0-7803-9779-7

Electronic_ISBN

0-7803-9780-0

Type

conf

DOI

10.1109/ISSSTA.2006.311750

Filename

4100539