Title :
BER Performance Improvement of Biased PCC-OFDM with Neural Phase Rotator by Suppressing ICI
Author :
Ohta, Masaya ; Yamada, Hideyuki ; Yamashita, Katsumi
Author_Institution :
Osaka Prefecture Univ., Osaka
Abstract :
This article proposes a novel orthogonal frequency-division multiplexing (OFDM) system based on polynomial cancellation coded OFDM (PCC-OFDM). This proposed system can reduce peak-to-average power ratio (PAPR) by a neural phase rotator and it does not need any side information to transmit phase rotation factors. Moreover, this system can suppress intercarrier interference (ICI) by two techniques. One is a common phase error (CPE) compensation technique which allows estimating frequency offset at receiver. The other is a ICI suppression technique by using the replica method. We can generate a replica of the transmitted OFDM signal by using estimated frequency offset and suppress ICI at receiver. From numerical experiments, it is shown that our system can reduce PAPR and ICI at the same time and improve BER performance effectively.
Keywords :
OFDM modulation; error statistics; intercarrier interference; interference suppression; neural nets; BER performance improvement; ICI suppression; biased PCC-OFDM; common phase error compensation technique; intercarrier interference; neural phase rotator; orthogonal frequency-division multiplexing system; peak-to-average power ratio reduction; polynomial cancellation coded OFDM; Bit error rate; Field programmable gate arrays; Frequency division multiplexing; Frequency estimation; Hopfield neural networks; Neural networks; OFDM; Peak to average power ratio; Phase noise; Transmitters;
Conference_Titel :
Neural Networks, 2006. IJCNN '06. International Joint Conference on
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-9490-9
DOI :
10.1109/IJCNN.2006.246645