Orthogonal frequency division multiplexing (OFDM) system is susceptible to carrier frequency offset (CFO). Therefore, CFO estimation and compensation is a necessary component for OFDM systems. In high-mobility environments, extremely large Doppler frequency shift will introduce severe CFO that is far beyond the subcarrier spacing. Conventional CFO estimation algorithms typically estimate the integer and fractional parts of CFO separately. This strategy is computationally expensive and time-consuming. To avert this deficiency, inspired by the Chinese remainder theorem, we propose a maximum likelihood estimation approach (CRT-MLE) to simultaneously estimate the integer and fractional parts of OFDM CFO. For the proposed CRT-MLE method, the CFO can be directly estimated via multiple sequences of different lengths. This approach can achieve a very large CFO estimation range up to the total number of OFDM subcarriers without significant additional computational complexity. Furthermore, we show that the proposed algorithm can approach the Cramér-Rao Bound. Finally, extensive simulation results show that our proposed CRT-MLE method is advantageous regarding estimation range and performance compared to baselines.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Chinese Remainder Theorem Based Carrier Offset Estimation for High-Mobility OFDM Systems


    Contributors:
    Huang, Wei (author) / Shi, Bohao (author) / Wang, Jun (author) / Li, Xiaoping (author) / Peng, Qihang (author)


    Publication date :

    2024-06-24


    Size :

    540058 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English