In this paper, by utilizing the temporal correlation of wireless channels, a hierarchical basis expansion model (HBEM) based estimation scheme is proposed for orthogonal frequency division multiplexing systems over doubly selective channel, where the complex exponential basis expansion model (CE-BEM) is used to extract the channel impulse response and the discrete Legendre polynomials BEM is used to refine the CE-BEM coefficients to improve the performance of channel estimation. We design a non-periodic sparse pilot pattern, and hence only scarce subcarriers of a small number of pilots are required for channel estimation, resulting a training overhead reduction of around 50% over the previous CE-BEM based schemes. A block-based signal space matching pursuit algorithm is proposed to enhance the estimation accuracy of CE-BEM coefficients. Furthermore, the proposed HBEM scheme enables a reduction in the number of estimated CE-BEM coefficients by more than 50%, compared to the previous work. A lower bound on the mean square error (MSE) of the proposed HBEM scheme is derived. Simulation results show that the proposed HBEM scheme significantly outperforms the previous CE-BEM based schemes in terms of MSE of channel estimation and bit error rate.


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    Title :

    Hierarchical BEM based Estimation of Doubly Selective Channels for OFDM Systems


    Contributors:
    Zhang, Yanfeng (author) / Zhu, Xu (author) / Jiang, Yufei (author) / Liu, Yujie (author) / Wang, Yuanchen (author)


    Publication date :

    2022-06-01


    Size :

    704417 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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