Title :
A neural phase rotator for PAPR reduction of PCC-OFDM signal
Author :
Ohta, Masaya ; Yamada, Hideyuki ; Yamashita, Katsumi
Author_Institution :
Dept. of Electr. & Electron. Syst., Osaka Prefecture Univ., Sakai
fDate :
July 31 2005-Aug. 4 2005
Abstract :
This article proposes a novel OFDM system that is based on PCC-OFDM and can reduce ICI and PAPR at the same time by using neural phase rotator. The proposed system does not use side information to transmit phase rotation factors. It is clarified from numerical experiments that the system can reduce PAPR of PCC-OFDM, and BER performance is improved drastically
Keywords :
OFDM modulation; error statistics; interference (signal); interference suppression; neural nets; phase noise; BER performance; intercarrier interference; neural phase rotator; peak to average power ration reduction; polynomial cancellation coded-OFDM signal; Digital modulation; Field programmable gate arrays; Hopfield neural networks; Neural networks; OFDM modulation; Peak to average power ratio; Phase modulation; Phase noise; Quadrature phase shift keying; Transmitters;
Conference_Titel :
Neural Networks, 2005. IJCNN '05. Proceedings. 2005 IEEE International Joint Conference on
Conference_Location :
Montreal, Que.
Print_ISBN :
0-7803-9048-2
DOI :
10.1109/IJCNN.2005.1556271
