期刊名称：International Journal of Computer Science Issues
印刷版ISSN：1694-0784
电子版ISSN：1694-0814
出版年度：2012
卷号：9
期号：3
出版社：IJCSI Press
摘要：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.
