Name
Title | ||
|---|---|---|
Genetic algorithm optimization for blind channel identification with higher order cumulant fitting |
Abstract | ||
|---|---|---|
An important family of blind equalization algorithms identify a communication channel model based on fitting higher order cumulants, which poses a nonlinear optimization prob- lem. Since higher order cumulant-based criteria are multimodal, conventional gradient search techniques require a good initial estimate to avoid converging to local minima. We present a novel scheme which uses genetic algorithms to optimize the cumulant fitting cost function. A microgenetic algorithm implementation is adopted to further enhance computational efficiency. As is demonstrated in computer simulation, this scheme is robust and accurate and has a fast convergence performance. |
Year | DOI | Venue |
|---|---|---|
1997 | 10.1109/4235.687886 | IEEE Transactions on Evolutionary Computation |
Keywords | DocType | Volume |
convergence of numerical methods,digital communication,equalisers,genetic algorithms,higher order statistics,identification,intersymbol interference,telecommunication channels,blind channel identification,blind equalization,communication channel model,convergence,cost function,cumulant fitting,digital communications,genetic algorithm,optimization | Journal | 1 |
Issue | ISSN | Citations |
4 | 1089-778X | 23 |
PageRank | References | Authors |
1.52 | 17 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sheng Chen | 1 | 1813 | 230.12 |
| An-Yeu Wu | 2 | 801 | 81.68 |
| Stephen McLaughlin | 3 | 168 | 16.62 |