@inproceedings{0f50a3bb0bc64db2bd4f93af691ab29e,
title = "Convergence evaluation of variable step-size NLMS algorithm in adaptive channel equalization",
abstract = "The use of two simple and robust variable step-size approaches in the adaptation process of the Normalized Least Mean Square (NLMS) algorithm (VSS-NLMS) in the adaptive channel equalization is investigated. The NLMS algorithm with a fixed step-size (FSS-NLMS) usually results in a trade-off between the residual error and the convergence speed of the algorithm. It is proved by computer simulation that the VSS-NLMS algorithms presented here eliminate much of this trade-off. In this paper the Mean-Square Error (MSE) performance of using the VSS-NLMS algorithms in the adaptation process of adaptive channel equalization is investigated. The step-size variation makes it possible for the VSS-NLMS algorithm to converge faster and to a lower steady state error than in the FSS-NLMS case.",
keywords = "Channel equalization, NLMS, Variable step-size",
author = "Jimaa, \{S. A.\} and A. Al-Simiri and Shubair, \{R. M.\} and T. Shimamura",
year = "2009",
month = dec,
day = "1",
doi = "10.1109/ISSPIT.2009.5407528",
language = "British English",
isbn = "9781424459506",
series = "IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2009",
publisher = "IEEE Computer Society",
pages = "145--150",
booktitle = "IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2009",
address = "United States",
note = "9th IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2009 ; Conference date: 14-12-2009 Through 16-12-2009",
}