Automatic modulation classification (AMC) plays a pivotal role for spectrum monitoring in cognitive radio (CR). The objective of this work is to investigate the AMC problem for multiple-input multiple-output (MIMO) systems employing orthogonal frequency division multiplexing (OFDM) under imperfect timing synchronization scenarios. Two major contributions are made in this work: i) specific higher-order cumulants (HOC) are proved to be robust to symbol timing offset (STO). ii) with the feature of multiple HOCs, a random forest based AMC algorithm is proposed for MIMO-OFDM systems, which is robust to timing synchronization error. Numerical simulations are conducted to verify the validation of the algorithm.


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    Title :

    Automatic Modulation Classification for MIMO-OFDM Systems with Imperfect Timing Synchronization


    Contributors:
    Yuan, Xiaoyu (author) / Li, Yongzhao (author) / Gao, Mingjun (author) / Li, Tao (author) / Zhang, Hailin (author)


    Publication date :

    2017-09-01


    Size :

    278002 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English






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