Phase noise introduced by imperfect oscillators can degrade the performance of multiple-input multiple-output (MIMO) systems. To address the issue, this paper investigates a joint estimation of channel and phase noise algorithm by taking advantage of the soft output of the decoder. Specifically, a novel criterion is proposed to select the most reliable symbols as virtual pilots to refine the channel amplitude. Furthermore, we develop a decoding-aided extended Kalman filter (EKF) to track the phase variation. Numerical results demonstrate that the proposed approach can effectively improve the accuracy of the channel and phase noise estimation, thereby enhancing the bit error rate (BER) performance of the MIMO system.


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    Title :

    A Decoding-aided Joint Estimation of Channel and Phase Noise in MIMO Systems


    Contributors:
    Wang, Conglin (author) / Sun, Yi (author) / Li, Bingqing (author) / Jiang, Ming (author) / Zhao, Chunming (author)


    Publication date :

    2024-06-24


    Size :

    526437 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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