By Topic

Weighting Particle Swarm Optimization SIMO MC-CDMA Multiuser Detectors

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

6 Author(s)
Abrao, T. ; Dept. of Electr. Eng., State Univ. of Londrina, Londrina ; Ciriaco, F. ; Oliveira, L.D. ; Angelico, B.A.
more authors

This paper analyzes the performance of two heuristic approaches applied to a synchronous multicarrier multiuser detection (MuD) of multiple receive antennas code division multiple access (SIMO MC-CDMA) system. The particle swarm optimization (PSO) with weighting particle position based on combining multi-fitness functions (woPSO) is proposed and compared with the conventional PSO SIMO MC-CDMA. The woPSO strategy deal with the multi-objective dilemma imposed by the spatial diversity that results in independent likelihood function for each receive antenna. Additionally, the computational complexity of these algorithms was taken into account in order to show which one has the best trade-off in terms of performance and implementation complexity aspects.

Published in:

Spread Spectrum Techniques and Applications, 2008 IEEE 10th International Symposium on

Date of Conference:

25-28 Aug. 2008