Machine Learning and Intelligent Communications. Third International Conference, MLICOM 2018, Hangzhou, China, July 6-8, 2018, Proceedings

Research Article

Real-Valued Orthogonal Sequences for Ultra-low Overhead Channel Estimation in MIMO-FBMC Systems

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  • @INPROCEEDINGS{10.1007/978-3-030-00557-3_17,
        author={Su Hu and Jing Zhang and Wanbin Tang and Zilong Liu and Pei Xiao and Yuan Gao},
        title={Real-Valued Orthogonal Sequences for Ultra-low Overhead Channel Estimation in MIMO-FBMC Systems},
        proceedings={Machine Learning and Intelligent Communications. Third International Conference, MLICOM 2018, Hangzhou, China, July 6-8, 2018, Proceedings},
        proceedings_a={MLICOM},
        year={2018},
        month={10},
        keywords={Filterbank multicarrier MIMO-FBMC Channel estimation Preamble Real-valued orthogonality Zero-correlation zone sequences},
        doi={10.1007/978-3-030-00557-3_17}
    }
    
  • Su Hu
    Jing Zhang
    Wanbin Tang
    Zilong Liu
    Pei Xiao
    Yuan Gao
    Year: 2018
    Real-Valued Orthogonal Sequences for Ultra-low Overhead Channel Estimation in MIMO-FBMC Systems
    MLICOM
    Springer
    DOI: 10.1007/978-3-030-00557-3_17
Su Hu1,*, Jing Zhang1, Wanbin Tang1, Zilong Liu2, Pei Xiao2, Yuan Gao3,*
  • 1: University of Electronic Science and Technology of China
  • 2: University of Surrey
  • 3: Tsinghua University
*Contact email: husu@uestc.edu.cn, yuangao08@tsinghua.edu.cn

Abstract

Multiple-input multiple-output filterbank multicarrier communication (MIMO-FBMC) is a promising technique to achieve very tight spectrum confinement (thus, higher spectral efficiency) as well as strong robustness against dispersive channels. In this paper, we present a novel training design for MIMO-FBMC system which enables efficient estimate of frequency-selective channels (associated to multiple transmit antennas) with only one non-zero FBMC symbol. Our key idea is to design real-valued orthogonal training sequences (in the frequency domain) which displaying zero-correlation zone properties in the time-domain. Compared to our earlier proposed training scheme requiring at least two non-zero FBMC symbols (separated by several zero guard symbols), the proposed scheme features ultra-low training overhead yet achieves channel estimation performance comparable to our earlier proposed complex training sequence decomposition (CTSD). Our simulations validate that the proposed method is an efficient channel estimation approach for practical preamble-based MIMO-FBMC systems.