Name
Abstract | ||
|---|---|---|
The amplifiers that are used on communication systems in order to increase the productivity, are worked on the nonlinear region. Therefore, digital communication channel can be defined as a Wiener block structure that contains a linear dynamic system and a non-linear static block. In this study, the nonlinear channel equalization problem, a Wiener block structured communication channel is tried to equalize by using a Hammerstein block structure. In order to do that performance of the suggested approach is investigated with LMS and RLS algorithms. The convergence rates of these adaptive algorithms are compared on the real valued data transmission so that LMS algorithm is observed slower convergence but less complex, RLS algorithm is observed much faster convergence rate. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/SIU.2012.6204523 | Signal Processing and Communications Applications Conference |
Keywords | Field | DocType |
digital communication,equalisers,telecommunication channels,Hammerstein block structure,LMS algorithm,RLS algorithm,Wiener block structured communication channel,adaptive algorithms,amplifiers,communication systems,data transmission,digital communication channel,linear dynamic system,nonlinear channel equalization problem,nonlinear communication channel equalization,nonlinear static block | Least mean squares filter,Convergence (routing),Data transmission,Equalization (audio),Control theory,Computer science,Communication channel,Communications system,Rate of convergence,Recursive least squares filter | Conference |
ISBN | Citations | PageRank |
978-1-4673-0054-4 | 0 | 0.34 |
References | Authors | |
3 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| T. Ozge Ozdinc | 1 | 0 | 0.34 |
| Aysin Senel | 2 | 0 | 0.34 |
| Rifat Hacioğlu | 3 | 21 | 5.89 |