Efficient Blind Equalizer Schemes Using Variable Tap-length Algorithm

Conference paper


Alsaid, S. and AbouGrad, H. 2025. Efficient Blind Equalizer Schemes Using Variable Tap-length Algorithm. AI and IoT for Next-Generation Smart Robotic Systems Innovations, Challenges, and Opportunities – AISRS Workshop, 3rd International Conference on Mechatronics and Smart Systems – CONF-MSS 2025. University of East London 09 - 09 Dec 2024 EWA Publishing.
AuthorsAlsaid, S. and AbouGrad, H.
TypeConference paper
Abstract

InterSymbol interference (ISI) distortion can be rectified without a training sequence using blind equalization schemes. However, such a capability of the equalization methodology comes at the expense of high cost, and therefore, it is necessary for the designers to think about efficient schemes to accomplish the blind equalization process. In this work, using a variable tap-length strategy, two algorithms for equalizing quadrature amplitude modulation (QAM) signals are proposed and tested. generalized Sato algorithm (GSA) and constant modulus algorithm (CMA) are incorporated with a variable tap-length technique to update the filter's coefficients. The variable tap-length method utilizes a fractional filter length in every iteration to optimize the filter coefficients and structure. Simulations are conducted in various channels for 16-QAM and 64-QAM, and the results have shown a considerable improvement in both mean square error (MSE) characteristics of the suggested algorithms as well as the ability of the presented algorithms to search for the optimal length.

KeywordsBlind Equalization Algorithms; Variable Tap-length Algorithm; Adaptive Filters; Constant Modulus Algorithm; QAM Signals
Year2025
ConferenceAI and IoT for Next-Generation Smart Robotic Systems Innovations, Challenges, and Opportunities – AISRS Workshop, 3rd International Conference on Mechatronics and Smart Systems – CONF-MSS 2025
PublisherEWA Publishing
Accepted author manuscript
License
File Access Level
Anyone
Publication process dates
Accepted27 Dec 2024
Deposited19 Mar 2025
JournalAdvances in Engineering Innovation
Journal citationp. In press
ISSN2755-2721
2755-273X
Web address (URL)https://www.confmss.org/
Copyright holder© 2024 The Authors
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Accepted author manuscript
FT_GSACMA-1432025.pdf
License: CC BY-NC-ND 4.0
File access level: Anyone

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