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2nd International ICST Conference on Communications and Networking in China

Research Article

A Novel Multi-Carrier System Based on Maximum-Likelihood Sequence Detection in Frequency Domain

Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.1109/CHINACOM.2007.4469444,
        author={Jing Wang and Daoben Li},
        title={A Novel Multi-Carrier System Based on Maximum-Likelihood Sequence Detection in Frequency Domain},
        proceedings={2nd International ICST Conference on Communications and Networking in China},
        publisher={IEEE},
        proceedings_a={CHINACOM},
        year={2008},
        month={3},
        keywords={Baseband  Degradation  Delay  Detection algorithms  Frequency domain analysis  Frequency synchronization  Interference  Maximum likelihood detection  OFDM  Power engineering and energy},
        doi={10.1109/CHINACOM.2007.4469444}
    }
    
  • Jing Wang
    Daoben Li
    Year: 2008
    A Novel Multi-Carrier System Based on Maximum-Likelihood Sequence Detection in Frequency Domain
    CHINACOM
    IEEE
    DOI: 10.1109/CHINACOM.2007.4469444
Jing Wang1,*, Daoben Li1
  • 1: School of Information Engineering Beijing University of Posts and Telecommunications Beijing 100876, China
*Contact email: comm.wang@gmail.com

Abstract

Spectrum and power effciency of an OFDM system may be severely degraded by its cyclic prefix. In the paper, a novel multicarrier system named MLSD-MCM is proposed in order to improve the effciency. The novel system does not depend on the orthogonality among subcarriers, but on the convolutional constraint relationship among them. The detection algorithm is the frequency-domain maximum-likelihood sequence detection (MLSD) based on the Ungerboeck metric. The convolutional constraint length is approximately 2 and thus the complexity is rather limited, which is attributed to the application of the square-root-Hanning window. Both theoretical analysis and simulation results prove that the MLSD-MCM technology is effective and feasible in AWGN and ITU-VA channels.

Keywords
Baseband Degradation Delay Detection algorithms Frequency domain analysis Frequency synchronization Interference Maximum likelihood detection OFDM Power engineering and energy
Published
2008-03-07
Publisher
IEEE
Modified
2011-07-13
http://dx.doi.org/10.1109/CHINACOM.2007.4469444
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