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Comparative study of blind equalizers based on Optimal Bounding Ellipsoid algorithms under AWGN and fading channels

Abstract : In this paper, we provide two algorithms for blind equalization in a bounded noise environment of a Single Input Single Output (SISO) channel. These approaches are based an Optimal Bounding Ellipsoid (OBE) algorithms. This class is among the set Membership identification methods. The aim of these algorithms is to force the equalizer output constellation to match the input constellation by estimating the parameters of the equalizer. They can be applied under different channels. Constellation and the symbol error rate (SER) for different value of SNR from 4-QAM modulation are presented. These simulations address the comparison between the two proposed algorithms performances under different type of channel: AWGN, Rayleigh and Rician channels.
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https://hal-normandie-univ.archives-ouvertes.fr/hal-01821187
Contributor : Miloud Frikel <>
Submitted on : Friday, June 22, 2018 - 12:18:13 PM
Last modification on : Friday, November 22, 2019 - 4:34:39 PM

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A. Moussa, M. Pouliquen, M. Frikel, S. Bedoui, K. Abderrahim, et al.. Comparative study of blind equalizers based on Optimal Bounding Ellipsoid algorithms under AWGN and fading channels. 2017 14th International Multi-Conference on Systems, Signals & Devices (SSD), Mar 2017, Marrakech, France. ⟨10.1109/SSD.2017.8166955⟩. ⟨hal-01821187⟩

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