Peak to Average Power Ratio reduction in ECMA-368 ultra wideband communication systems using Adaptive Neural Fuzzy Inference Systems
The Federal Communications Commission (FCC) authorized the use of 7500 MHz of spectrum reserved for unlicensed Ultra Wide Band communications systems, which leads the emergence of some standards. Among these standards: ECMA-368 adopts Multiband Orthogonal Frequency Division Multiplexing (MB-OFDM) technique. However, MB-OFDM signal suffers from high Peak to Average Power Ratio (PAPR), which limits the power efficiency of the High Power Amplifier (HPA) due to nonlinear distortion. In order to avoid this drawback, an efficient scheme based on Adaptive Neural Fuzzy Inference Systems (ANFIS) is proposed. The ANFIS is adjusted by using Active Constellation Expansion (ACE) technique which provides satisfactory results. This proposed solution gives good performance compared to previously available methods with much lower complexity, without iterations, good bit error rate and no increase in transmitted signal power and bandwidth.
Keywords: ECMA-368, MB-OFDM, PAPR, HPA, ACE, ANFIS
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ABOUT THE AUTHORS
Abdelhamid Louliej
is a PHD student, he is also working as engineer in the National School of Applied Sciences of Marrakech in networks and telecommunications department, he did his master research in INRETS, Lille, France. He did several electronic projects, his researches are on OFDM, MB-OFDM, UWB and wireless positioning.
Younes Jabrane
received his PhD in telecommunications and informatics from Cadi Ayyad University of Marrakech, Morocco. He is now Assistant Professor in the National School of Applied Sciences of Marrakech. He did several stay researches in Department of signal theory and communications of Carlos III of Madrid, Spain, his researches are on CDMA and OFDM.
Brahim Ait Es Said
is a Professor in Faculty of Sciences Semlalia of Marrakech, Morocco. He is a supervisor of several students PhD, and also he did many stay researches in University of Valenciennes, France. His researches are on Channel equalization, image processing and OFDM.
Abdellah Ait Ouahman
is a Professor Director of National School of Applied Sciences of Marrakech. He supervises several students\' PhD, he is the coordinator of several projects and he is also the local chair of IEEE conferences organized in Marrakech for many times. His researches are on logistic, telecommunications and informatics networks.
Abdelhamid Louliej
is a PHD student, he is also working as engineer in the National School of Applied Sciences of Marrakech in networks and telecommunications department, he did his master research in INRETS, Lille, France. He did several electronic projects, his researches are on OFDM, MB-OFDM, UWB and wireless positioning.
Younes Jabrane
received his PhD in telecommunications and informatics from Cadi Ayyad University of Marrakech, Morocco. He is now Assistant Professor in the National School of Applied Sciences of Marrakech. He did several stay researches in Department of signal theory and communications of Carlos III of Madrid, Spain, his researches are on CDMA and OFDM.
Brahim Ait Es Said
is a Professor in Faculty of Sciences Semlalia of Marrakech, Morocco. He is a supervisor of several students PhD, and also he did many stay researches in University of Valenciennes, France. His researches are on Channel equalization, image processing and OFDM.
Abdellah Ait Ouahman
is a Professor Director of National School of Applied Sciences of Marrakech. He supervises several students\' PhD, he is the coordinator of several projects and he is also the local chair of IEEE conferences organized in Marrakech for many times. His researches are on logistic, telecommunications and informatics networks.
