Name
Abstract | ||
|---|---|---|
This paper investigates the problems of nonlinear channel equalization based on LMI-fuzzy methodology. According to Takagi-Sugeno (T-S) fuzzy modeling concept, the discrete-time nonlinear channel can be constructed by the piecewise linear subsystems. The FIR fuzzy equalizer design for nonlinear channel is transformed into a standard linear matrix inequality (LMI) optimization problem, and the coefficients of the fuzzy equalizer are obtained by solving LMIs. Thus, the result is very simple and the computation is numerically tractable. Finally, simulation result is given to demonstrate the effectiveness of the proposed methodology. |
Year | DOI | Keywords |
|---|---|---|
2005 | 10.1109/ACC.2005.1470417 | FIR filters,H∞ control,discrete time systems,equalisers,fuzzy control,linear matrix inequalities,optimisation,telecommunication channels,telecommunication control,FIR fuzzy equalizer design,H∞ fuzzy equalizer design,LMI optimization problem,LMI-fuzzy methodology,Takagi-Sugeno fuzzy modeling,discrete-time nonlinear channels,linear matrix inequality optimization problem,nonlinear channel equalization,piecewise linear subsystems |
DocType | ISSN | ISBN |
Conference | 0743-1619 E-ISBN : 0-7803-9099-7 | 0-7803-9099-7 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sheng-Yi Lin | 1 | 0 | 0.68 |
| Te-jen Su | 2 | 113 | 20.27 |
| Gwo-Jia Jong | 3 | 59 | 18.97 |
| SY Lin | 4 | 0 | 0.34 |
| TJ Su | 5 | 0 | 0.34 |
| GJ Jong | 6 | 0 | 0.34 |