In direct-sequence code division multiple access (DS-CDMA) systems, the
heuristic optimization algorithms for multiuser detection include genetic algorithms
(GA) and simulated annealing (SA) algorithm. In this thesis, we use particle swarm
optimization (PSO) algorithms to solve the optimization problem of multiuser
detection (MUD). PSO algorithm has several advantages, such as fast convergence,
low computational complexity, and good performance in searching optimum solution.
In order to enhance the performance and reduce the number of parameters, we
propose two modified PSO algorithms, inertia weighting controlled PSO (W-PSO)
and reduced-parameter PSO (R-PSO). From simulation results, the performance of
our proposed algorithms can achieve that of optimal solution. Furthermore, our
proposed algorithms have faster convergence performance and lower complexity
when compared with other conventional algorithms.
| Identifer | oai:union.ndltd.org:NSYSU/oai:NSYSU:etd-0731110-235955 |
| Date | 31 July 2010 |
| Creators | Fang, Ping-hau |
| Contributors | Jieh-chian Wu, Ju-ya Chen, Ching-piao Hung |
| Publisher | NSYSU |
| Source Sets | NSYSU Electronic Thesis and Dissertation Archive |
| Language | Cholon |
| Detected Language | English |
| Type | text |
| Format | application/pdf |
| Source | http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0731110-235955 |
| Rights | not_available, Copyright information available at source archive |
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