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.
Authors | Alsaid, S. and AbouGrad, H. |
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Type | Conference 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. |
Keywords | Blind Equalization Algorithms; Variable Tap-length Algorithm; Adaptive Filters; Constant Modulus Algorithm; QAM Signals |
Year | 2025 |
Conference | 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 |
Publisher | EWA Publishing |
Accepted author manuscript | License File Access Level Anyone |
Publication process dates | |
Accepted | 27 Dec 2024 |
Deposited | 19 Mar 2025 |
Journal | Advances in Engineering Innovation |
Journal citation | p. In press |
ISSN | 2755-2721 |
2755-273X | |
Web address (URL) | https://www.confmss.org/ |
Copyright holder | © 2024 The Authors |
https://repository.uel.ac.uk/item/8z2x4
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