2nd International ICST Conference on Communications and Networking in China

Research Article

Semi-Data-Aided Frequency Estimation Algorithm for BPSK Burst Transmissions

  • @INPROCEEDINGS{10.1109/CHINACOM.2007.4469477,
        author={Hu yunpeng and Yu Hongyi and Hu  Hanying},
        title={Semi-Data-Aided Frequency Estimation Algorithm for BPSK Burst Transmissions},
        proceedings={2nd International ICST Conference on Communications and Networking in China},
        publisher={IEEE},
        proceedings_a={CHINACOM},
        year={2008},
        month={3},
        keywords={Binary phase-shift keying (BPSK)  Burst transmission  frequency estimation  maximum likelihood estimation  semi-data-aided},
        doi={10.1109/CHINACOM.2007.4469477}
    }
    
  • Hu yunpeng
    Yu Hongyi
    Hu Hanying
    Year: 2008
    Semi-Data-Aided Frequency Estimation Algorithm for BPSK Burst Transmissions
    CHINACOM
    IEEE
    DOI: 10.1109/CHINACOM.2007.4469477
Hu yunpeng1, Yu Hongyi1, Hu Hanying1
  • 1: Dept. of Communication Engineering Zhengzhou Information Science and Technology Institute Zhengzhou, P.R. China

Abstract

This paper deals with frequency estimation for burstmode transmissions in AWGN channel. A semi-data-aided (SDA) maximum likelihood frequency estimation algorithm is derived. According to the algorithm, known pilot symbols and unknown data symbols are used together in order that both estimation accuracy and spectral efficiency can be satisfied. The simulations show that the good performance reaching the CRLB of a large number of pilot symbols can be obtained at moderately high signal-to-noise ratios even when fewer pilot symbols are used.