A hybrid strategy for Gilbert's channel characterization using gradient and annealing techniques
| dc.citation.epage | 585 | en_US |
| dc.citation.issue | 6 | en_US |
| dc.citation.spage | 579 | en_US |
| dc.citation.volume | 29 | en_US |
| dc.citation.woscount | 0 | |
| dc.contributor.author | Tan, TH | en_US |
| dc.contributor.author | Chang, WW | en_US |
| dc.contributor.department | 電信工程研究所 | zh_TW |
| dc.contributor.department | Institute of Communications Engineering | en_US |
| dc.date.accessioned | 2014-12-08T15:49:04Z | |
| dc.date.available | 2014-12-08T15:49:04Z | |
| dc.date.issued | 1998-06-01 | en_US |
| dc.description.abstract | This paper presents a hybrid algorithm for estimating Gilbert's channel model parameters from an experimental error-gap distribution. A stochastic simulated annealing algorithm is applied to determine automatically a set of good starting points, which are then used by the deterministic gradient algorithm for faster convergence to the global optimum. Simulation results indicate that, for channel characterization, this hybrid strategy provides an ideal compromise between modelling accuracy and convergence time. | en_US |
| dc.identifier.issn | 0020-7721 | en_US |
| dc.identifier.journal | INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE | en_US |
| dc.identifier.uri | https://ir.lib.nycu.edu.tw/handle/11536/32602 | |
| dc.identifier.wosnumber | WOS:000074168400006 | |
| dc.language.iso | en_US | en_US |
| dc.title | A hybrid strategy for Gilbert's channel characterization using gradient and annealing techniques | en_US |
| dc.type | Article | en_US |