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Design of Adaptive FLANN Based Model for Non-Linear Channel Equalization

  • Sidhartha Dash
  • Santanu Kumar Sahoo
  • Mihir Narayan Mohanty
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 150)

Abstract

Wireless Communication systems require the most efficient techniques for reception of error-less data with high data rate. The channels introduce both linear and non-linear distortions. ISI plays a major role in this field. Also these channels contaminate the received sequence with random fluctuation. In this paper, an adaptive algorithm based on FLANN has been developed for channel equalization with analysis of MSE. The FLANN is developed with LMS technique as well as sign regressor based LMS technique and the results are compared. Also the result is compared with the standard adaptive LMS algorithm. The signed FLANN based model shows better performance as compared to LMS based FLANN model.

Keywords

Channel equalization Sign regressor based LMS Functional link artificial neural network Signed regressor FLANN 

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Copyright information

© Springer Science+Business Media New York 2013

Authors and Affiliations

  • Sidhartha Dash
    • 1
  • Santanu Kumar Sahoo
    • 1
  • Mihir Narayan Mohanty
    • 1
  1. 1.ITERSiksha ‘O’ Anusandhan UniversityBhubaneswarIndia

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