Analysis of the Normalized LMS Optimum Solution in the Context of Channel Equalization

Authors

  • Levy Boccato University of Campinas
  • Rafael Ferrari University of Campinas
  • Romis Ribeiro de Faissol Attux University of Campinas

DOI:

https://doi.org/10.14209/jcis.2018.3

Keywords:

Adaptive filtering, Channel equalization, Normalized LMS

Abstract

Albeit being presented as an alternative to the classical least-mean-square (LMS) algorithm, the normalized LMS (NLMS) actually deals with a modified mean squared error (MSE) cost function, so that the expected optimum solution may differ from the Wiener solution. In this work, we perform an investigation concerning the question as to whether such difference may arise in the context of the channel equalization problem by considering a representative set of transmitted signal modulations, channel models and signal-to-noise ratio (SNR) conditions. Additionally, we analyze the influence of the potential deviation from the optimal solution on the performance of the equalizer.

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Author Biographies

Levy Boccato, University of Campinas

Department of Computer Engineering and Industrial Automation (DCA)

Rafael Ferrari, University of Campinas

Department of Computer Engineering and Industrial Automation (DCA)

Romis Ribeiro de Faissol Attux, University of Campinas

Department of Computer Engineering and Industrial Automation (DCA)

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Published

2018-03-25

How to Cite

Boccato, L., Ferrari, R., & Attux, R. R. de F. (2018). Analysis of the Normalized LMS Optimum Solution in the Context of Channel Equalization. Journal of Communication and Information Systems, 33(1). https://doi.org/10.14209/jcis.2018.3

Issue

Vol. 33 No. 1 (2018)

Section

Letters

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Received 2017-06-29
Accepted 2018-03-06
Published 2018-03-25

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