1st International ICST Conference on Communications and Networking in China

Research Article

Performance Analysis of HNN Rotator for PCC-OFDM System

Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.1109/CHINACOM.2006.344923,
    author={Haiming  Wang and Dajie  Jiang},
    title={Performance Analysis of HNN Rotator for PCC-OFDM System},
    proceedings={1st International ICST Conference on Communications and Networking in China},
    publisher={IEEE},
    proceedings_a={CHINACOM},
    year={2007},
    month={4},
    keywords={},
    doi={10.1109/CHINACOM.2006.344923}
}
  • Haiming Wang
    Dajie Jiang
    Year: 2007
    Performance Analysis of HNN Rotator for PCC-OFDM System
    CHINACOM
    IEEE
    DOI: 10.1109/CHINACOM.2006.344923
Haiming Wang1,2,*, Dajie Jiang3,4,*
  • 1: Nokia Research Center (China) Nokia House 1, No.11 He Ping Li Dong Jie,
  • 2: Beijing, 100013, P.R.C China
  • 3: Beijing University of Posts and Telecommunications, Beijing, 100876
  • 4: China
*Contact email: haiming.wang@nokia.com, ext-dajie.jiang@nokia.com

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.

Published
2007-04-10
Publisher
IEEE
http://dx.doi.org/10.1109/CHINACOM.2006.344923
Copyright © 2006–2024 IEEE
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