Name
Abstract | ||
|---|---|---|
The nonlinear Multiuser Detection (MUD) in Direct Sequence Code Division Multiple Access (DS/CDMA) system can be viewed as a two-class classification task. A new classification method called Probabilistic Tangent Subspace (PTS) is introduced to be used as an MUD. Due to the mobility of communicator, wireless communication channels are in fact time variant. The uncertainties of the time-varying channel's coefficients cause the uncertainties of the Multiuser Interference (MUI). On the other hand, the probabilistic tangent subspace method is designed to encode the pattern variations. Therefore, we are motivated to adopt this method to develop a classifier as a multiuser detector for time-varying channels. Simulation results show that this MUD performs better than that based on Support Vector Machine (SVM) for Rayleigh fading channel in DS/CDMA system. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1007/11551188_61 | ICAPR (1) |
Keywords | Field | DocType |
probabilistic tangent subspace method,wireless communication channel,multiuser interference,time-varying channel,two-class classification task,cdma system,rayleigh fading channel,nonlinear multiuser detection,new classification method,direct sequence code division,multiuser detection,wireless communication,support vector machine,code division multiple access | Rayleigh fading,Telecommunications,Subspace topology,Computer science,Support vector machine,Algorithm,Communication channel,Minimum mean square error,Multiuser detection,Probabilistic logic,Code division multiple access,Distributed computing | Conference |
Volume | ISSN | ISBN |
3686 | 0302-9743 | 3-540-28757-4 |
Citations | PageRank | References |
0 | 0.34 | 14 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jing Yang | 1 | 0 | 0.68 |
| Yunpeng Xu | 2 | 21 | 4.44 |
| Hongxing Zou | 3 | 139 | 13.17 |