Title :
Performance Analysis of HNN Rotator for PCC-OFDM System
Author :
Wang, Haiming ; Jiang, Dajie
Author_Institution :
Nokia Res. Center, Beijing
Abstract :
This paper proposes a novel approach to reduce the PAPR value of PCC-OFDM with a new stochastic Hopfield neural network rotator (S-HNN-R) with soft feedback. By adopting new neural output function and random state disturbance, the system performance is improved greatly. Furthermore, the side information isn´t needed any more compared to the traditional SLM method. From numerical experiments, it is an effective and practical algorithm for PCC-OFDM system.
Keywords :
Hopfield neural nets; OFDM modulation; stochastic processes; telecommunication computing; HNN rotator; PCC-OFDM system; neural output function; random state disturbance; stochastic Hopfield neural network rotator; Helium; Hopfield neural networks; Neurofeedback; OFDM; Peak to average power ratio; Performance analysis; Stochastic processes; Stochastic systems; System performance; Wireless communication; OFDM; PAPR; PCC-OFDM; S-HNN-R;
Conference_Titel :
Communications and Networking in China, 2006. ChinaCom '06. First International Conference on
Conference_Location :
Beijing
Print_ISBN :
1-4244-0463-0
Electronic_ISBN :
1-4244-0463-0
DOI :
10.1109/CHINACOM.2006.344923
