Title :
A QPSO Based Multiuser Detection for Antenna-Diversity-Aided MC-CDMA Systems
Author_Institution :
Sch. of Inf. Eng., Nanchang Hangkong Univ., Nanchang, China
Abstract :
The paper proposes a quantum particle swarm optimization (QPSO) based multiuser detection for the antenna-diversity-aided multicarrier code-division multiple-access (MC-CDMA) systems. Due to the spatial receive-diversity, the received signals at the different antennas are faded independently, resulting in an independent log-likelihood function (LLF) for each receive-antenna. To resolve the multi-objective dilemma when choosing one signal estimation for multiple receive-antenna-branches, the proposed scheme updates each quantum particle in a Pareto optimal way. Simulations and comparisons with the QPSO of linear combining strategy and the maximum likelihood detection (MLD) verified the effectiveness of the proposed scheme.
Keywords :
Pareto optimisation; code division multiple access; diversity reception; maximum likelihood detection; multiuser detection; particle swarm optimisation; receiving antennas; Pareto optimisation; antenna-diversity; log-likelihood function; maximum likelihood detection; multicarrier code-division multiple-access; multiuser detection; quantum particle swarm optimization; receive antennas; signal estimation; Active noise reduction; Computational intelligence; Estimation; Fading; Maximum likelihood detection; Multicarrier code division multiple access; Multiuser detection; Particle swarm optimization; Receiving antennas; Signal resolution; MC-CDMA; Pareto optimality; QPSO; multiuser detection;
Conference_Titel :
Computational Intelligence and Design, 2009. ISCID '09. Second International Symposium on
Conference_Location :
Changsha
Print_ISBN :
978-0-7695-3865-5
DOI :
10.1109/ISCID.2009.265
