Helicopter satellite communication refers to the direct communication between the helicopter and satellite through onboard relevant equipment, and the information is transmitted and exchanged with ground stations through the satellite. The characteristic of the helicopter satellite communication system is that the helicopters do not require real-time visibility to the ground station, and wide area communication is achieved through satellites. At the same time, it avoids the influence of terrain and reduces signal transmission loss. In order to ensure the flight safety of the helicopter, the antenna height cannot exceed the rotor space. Usually, the antenna is installed under the rotor, on the tail, or on both sides of the wing. The satellite communication link may be obstructed by the rotor, causing periodic communication interruptions and seriously affecting the quality of communication. This is the main problem in helicopter satellite communication. This article proposes the low SNR and high dynamic coarse frequency offset estimation method for helicopter-satellite communication. By using this method, the frequency offset estimation process can be divided into a “coarse estimation + fine estimation” structure, where coarse estimation only requires a shaping factor as the prior information. The estimation method is conducive to engineering implementation and has been verified. Based on the estimation results, the subsequent demodulation process can be significantly simplified, and the presented method also has good performance at extremely low signal-to-noise ratios.


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    Title :

    The low SNR and high-dynamic coarse frequency offset estimation method for helicopter-satellite communication


    Contributors:
    Fei, Tai (editor) / Liu, Mingyang (author) / Tian, Jia (author) / He, Zhiying (author) / Wang, Zhanqiang (author)

    Conference:

    Fourth International Conference on High Performance Computing and Communication Engineering (HPCCE 2024) ; 2024 ; Suzhou, China


    Published in:

    Proc. SPIE ; 13630


    Publication date :

    2025-05-09





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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