7th International Conference on Communications and Networking in China

Research Article

Joint Synchronization and Channel Estimation for the Uplink Coordinated Multi-Point Systems

  • @INPROCEEDINGS{10.1109/ChinaCom.2012.6417512,
        author={Lian Chang and Jianhua Zhang and Xiaofan Li and Baoling Liu and Kai Sun},
        title={Joint Synchronization and Channel Estimation for the Uplink Coordinated Multi-Point Systems},
        proceedings={7th International Conference on Communications and Networking in China},
        publisher={IEEE},
        proceedings_a={CHINACOM},
        year={2012},
        month={10},
        keywords={channel estimation comp synchronization},
        doi={10.1109/ChinaCom.2012.6417512}
    }
    
  • Lian Chang
    Jianhua Zhang
    Xiaofan Li
    Baoling Liu
    Kai Sun
    Year: 2012
    Joint Synchronization and Channel Estimation for the Uplink Coordinated Multi-Point Systems
    CHINACOM
    IEEE
    DOI: 10.1109/ChinaCom.2012.6417512
Lian Chang1,*, Jianhua Zhang1, Xiaofan Li1, Baoling Liu1, Kai Sun2
  • 1: Wireless Technology Innovation Institute, Beijing University of Posts and Telecommunications
  • 2: Inner Mongolia University
*Contact email: changlian@bupt.edu.cn

Abstract

This paper addresses the reference sequence (RS)-aided joint synchronization and channel estimation for the uplink of coordinated multi-point (CoMP) systems based on the minimum mean square error (MMSE) criterion. Considering the highly complex grid-search process involved in the MMSE estimation, the alternating minimization method is employed to simplify the MMSE cost function such that the multiuser carrier frequency offset (CFO), sampling timing offset (STO), and channel frequency response (CFR) can be estimated in an iterative approach which is more feasible for practical systems. Moreover, with the delicately designed orthogonal RS, multiuser RS interference can be effectively suppressed. Finally, the performance of the joint estimator is analytically investigated from the perspectives of estimation error and Cramer-Rao bound (CRB). Simulation results indicate that the proposed scheme can achieve almost ideal performance for both synchronization and channel estimation.