Performance evaluation of random step-size nlms in adaptive channel equalization

S. A. Jimaa, N. Al Saeedi, S. Al-Araji, R. M. Shubair

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations


Adaptive filtering algorithms have been widely applied to solve the problem of channel equalization in digital communication systems. So far, the LMS and the NLMS adaptive algorithms have been the most commonly adopted approaches owing to the clarity of the mean-square-error cost function in terms of statistical concept and the simplicity for computation. However, a critical issue associated with both algorithms is the choice of the step-size parameter that is the trade-off between the steady-state misadjustment and the speed of adaptation. The aim of this paper is to investigate the performance, in terms of MSE, of random step-size NLMS algorithm in adaptive channel equalization. The proposed idea of this paper is that the adaptive filter will change its coefficients according to the NLMS algorithm in which its step size is multiplied by PN (pseudo random number generator) to pseudo randomize the step size.

Original languageBritish English
Title of host publication2008 1st IFIP Wireless Days, WD 2008
PublisherIEEE Computer Society
ISBN (Print)9781424428298
StatePublished - 1 Nov 2008
Event2008 1st IFIP Wireless Days, WD 2008 - Dubai, United Arab Emirates
Duration: 24 Nov 200827 Nov 2008

Publication series

Name2008 1st IFIP Wireless Days, WD 2008


Conference2008 1st IFIP Wireless Days, WD 2008
Country/TerritoryUnited Arab Emirates


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