Complex Sciences. First International Conference, Complex 2009, Shanghai, China, February 23-25, 2009, Revised Papers, Part 2

Research Article

Channel Estimation and ISI/ICI Cancellation for MIMO-OFDM Systems with Insufficient Cyclic Prefix

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  • @INPROCEEDINGS{10.1007/978-3-642-02469-6_2,
        author={Yi-Jen Chiu and Chien-Sheng Chen and Ting-Wei Chang},
        title={Channel Estimation and ISI/ICI Cancellation for MIMO-OFDM Systems with Insufficient Cyclic Prefix},
        proceedings={Complex Sciences. First International Conference, Complex 2009, Shanghai, China, February 23-25, 2009, Revised Papers, Part 2},
        proceedings_a={COMPLEX PART 2},
        year={2012},
        month={5},
        keywords={multi-input multi-output orthogonal frequency division multiplexing (MIMO-OFDM) inter-symbol interference (ISI) inter-carrier interference (ICI) Expectation-Maximization (EM) algorithm},
        doi={10.1007/978-3-642-02469-6_2}
    }
    
  • Yi-Jen Chiu
    Chien-Sheng Chen
    Ting-Wei Chang
    Year: 2012
    Channel Estimation and ISI/ICI Cancellation for MIMO-OFDM Systems with Insufficient Cyclic Prefix
    COMPLEX PART 2
    Springer
    DOI: 10.1007/978-3-642-02469-6_2
Yi-Jen Chiu1,*, Chien-Sheng Chen1, Ting-Wei Chang1
  • 1: Diwan College
*Contact email: cyj@dwu.edu.tw

Abstract

In multi-input multi-output orthogonal frequency division multiplexing (MIMO-OFDM) systems, the multipath components whose delays exceed cyclic prefix (CP) cause inter-symbol interference (ISI) and inter-carrier interference (ICI), which may degrade system performance severely. In this paper, we propose a joint channel estimation and ISI/ICI cancellation scheme in which a limited CP is used in a trade-off against high-rate performance in MIMO-OFDM systems. A channel estimation scheme based on the criterion of Expectation-Maximization (EM) algorithm can be proposed through the use of a training symbol. The EM algorithm uses an iterative procedure to estimate channel parameters and can estimate channel impulse response (CIR) accurately enough to mitigate ISI/ICI influences. Through the accurate CIR estimation, an efficient method has been developed to counteract ISI/ICI influences in signal detection in the case where the inserted CP length is less than the CIR length. Simulation results show that the proposed method can significantly enhance the overall MIMO-OFDM system performance after only a few iterations.