Comparative study of blind equalizers based on Optimal Bounding Ellipsoid algorithms under AWGN and fading channels
| Autor: | Mohammed M'Saad, A. Moussa, Kamel Abderrahim, Saida Bedoui, Mathieu Pouliquen, M. Frikel |
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| Přispěvatelé: | Laboratoire d'automatique de Caen (LAC), École Nationale Supérieure d'Ingénieurs de Caen (ENSICAEN), Normandie Université (NU)-Normandie Université (NU)-Université de Caen Normandie (UNICAEN), Normandie Université (NU), Ecole Nationale d'Ingénieurs de Gabès |
| Rok vydání: | 2017 |
| Předmět: |
Computer science
AWGN channels Fading channels 020206 networking & telecommunications Data_CODINGANDINFORMATIONTHEORY 02 engineering and technology Receivers Ellipsoid symbols.namesake Noise Additive white Gaussian noise Bounding overwatch Blind equalizers 0202 electrical engineering electronic engineering information engineering symbols 020201 artificial intelligence & image processing Fading Quadrature amplitude modulation [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing Algorithm Computer Science::Information Theory Blind equalization Communication channel |
| Zdroj: | SDD 2017 14th International Multi-Conference on Systems, Signals & Devices (SSD) 2017 14th International Multi-Conference on Systems, Signals & Devices (SSD), Mar 2017, Marrakech, France. ⟨10.1109/SSD.2017.8166955⟩ |
| DOI: | 10.1109/ssd.2017.8166955 |
| Popis: | International audience; 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. |
| Databáze: | OpenAIRE |
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