Channel Estimation Based on Clonal Selection Algorithm in MIMO System

Author

Ke, Yanli ; Jiao, Licheng ; Zhou, Weida

Author_Institution

Inst. of Intelligent Inf. Process., Xidian Univ., Xi´´an

Volume

1

fYear

2006

fDate

Nov. 2006

Firstpage

406

Lastpage

409

Abstract

A novel channel estimation algorithm for MIMO system is presented in this paper, which is based on the clonal selection theory and the idea of immune evolution. The effectiveness of our method is demonstrated through the simulation in a MIMO system what is known as Vertical Bell-Labs Layered Space Time system (V-BLAST). Simulation results show that the BER performance of channel estimation based on clonal selection algorithm (CA) with proper algorithm parameters is better than the maximum likelihood (ML) and minimum mean-square error (MMSE) channel estimation algorithms

Keywords

MIMO systems; channel estimation; error statistics; maximum likelihood estimation; mean square error methods; optimisation; BER performance; MIMO system; channel estimation; clonal selection algorithm; immune evolution; maximum likelihood; minimum mean-square error; vertical Bell-labs layered space time system; Bit error rate; Channel estimation; Fading; Gaussian noise; MIMO; Maximum likelihood estimation; Receiving antennas; Transfer functions; Transmitters; Transmitting antennas;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Intelligence and Security, 2006 International Conference on

Conference_Location

Guangzhou

Print_ISBN

1-4244-0605-6

Electronic_ISBN

1-4244-0605-6

Type

conf

DOI

10.1109/ICCIAS.2006.294164

Filename

4072117