5th International ICST Conference on Communications and Networking in China

Research Article

A low overhead pilot-aided parameter estimation scheme for asymmetric PCMA systems

Download631 downloads
  • @INPROCEEDINGS{10.4108/chinacom.2010.34,
        author={Fei He and Xiang Chen and Jian Yan and Ming Zhao and Shidong Zhou},
        title={A low overhead pilot-aided parameter estimation scheme for asymmetric PCMA systems},
        proceedings={5th International ICST Conference on Communications and Networking in China},
        publisher={IEEE},
        proceedings_a={CHINACOM},
        year={2011},
        month={1},
        keywords={Channel estimation Correlation Downlink Estimation Joints Satellites Timing},
        doi={10.4108/chinacom.2010.34}
    }
    
  • Fei He
    Xiang Chen
    Jian Yan
    Ming Zhao
    Shidong Zhou
    Year: 2011
    A low overhead pilot-aided parameter estimation scheme for asymmetric PCMA systems
    CHINACOM
    ICST
    DOI: 10.4108/chinacom.2010.34
Fei He1,*, Xiang Chen1,*, Jian Yan1, Ming Zhao1, Shidong Zhou1
  • 1: State Key Laboratory on Microwave and Digital Communications, Tsinghua National Laboratory for Information Science and Technology, Department of Electronic Engineering, Tsinghua University, Beijing 100084, China
*Contact email: flyingpossible@gmail.com, chenxiang98@gmail.com

Abstract

A pilot-aided scheme for the parameter estimation in Paired Carrier Multiple Access (PCMA) satellite communication systems is proposed in this paper. Recently, the asymmetric application mode of PCMA, which is more efficient and pragmatic than the symmetric mode, has been studied with great interest. In our research, carefully selected pilot sequences have been inserted into the frame in an attempt to achieve better estimation performance with only a very low overhead. The channel estimation method, which is based on Wiener optimal filtering, is also derived with respect to the (quasi-)static selective fading channel environment. Different from the foregoing work, the key result of this paper is the construction of a single module which jointly implements various parameter estimation modules as a whole. As shown in the simulation results, the proposed scheme outperforms the conventional data-aided scheme, especially in the high Signal to Noise Ratio (SNR) scenario which is typical in asymmetric PCMA systems.