A variable step-size sign algorithm for channel estimation
| dc.citation.epage | 312 | en_US |
| dc.citation.issue | en_US | |
| dc.citation.spage | 304 | en_US |
| dc.citation.volume | 102 | en_US |
| dc.citation.woscount | 0 | |
| dc.contributor.author | Li, Yuan-Ping | en_US |
| dc.contributor.author | Lee, Ta-Sung | en_US |
| dc.contributor.author | Wu, Bing-Fei | en_US |
| dc.contributor.department | 電機資訊學士班 | zh_TW |
| dc.contributor.department | Undergraduate Honors Program of Electrical Engineering and Computer Science | en_US |
| dc.date.accessioned | 2014-12-08T15:36:16Z | |
| dc.date.available | 2014-12-08T15:36:16Z | |
| dc.date.issued | 2014-09-01 | en_US |
| dc.description.abstract | This paper proposes a new variable step-size sign algorithm (VSSA) for unknown channel estimation or system identification, and applies this algorithm to an environment containing two-component Gaussian mixture observation noise. The step size is adjusted using the gradient-based weighted average of the sign algorithm. The proposed scheme exhibits a fast convergence rate and low misadjustment error, and provides robustness in environments with heavy-tailed impulsive interference. (C) 2014 Elsevier B.V. All rights reserved. | en_US |
| dc.identifier.doi | 10.1016/j.sigpro.2014.03.030 | en_US |
| dc.identifier.issn | 0165-1684 | en_US |
| dc.identifier.journal | SIGNAL PROCESSING | en_US |
| dc.identifier.uri | http://dx.doi.org/10.1016/j.sigpro.2014.03.030 | en_US |
| dc.identifier.uri | https://ir.lib.nycu.edu.tw/handle/11536/24603 | |
| dc.identifier.wosnumber | WOS:000337207500030 | |
| dc.language.iso | en_US | en_US |
| dc.subject | Adaptive filters | en_US |
| dc.subject | Channel estimation | en_US |
| dc.subject | Impulsive noise | en_US |
| dc.subject | Least mean square | en_US |
| dc.subject | Sign algorithm | en_US |
| dc.subject | System identification | en_US |
| dc.title | A variable step-size sign algorithm for channel estimation | en_US |
| dc.type | Article | en_US |