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Volume 27 Issue 6
 
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Article Navigation >  Journal of Unmanned Undersea Systems  > 2019  >  27(6): 629-635
WANG Wei-wei, SUN Hui-song, YAN Hong-lu. A Doppler Estimation Method of Mobile FH-FSK Communication[J]. Journal of Unmanned Undersea Systems, 2019, 27(6): 629-635. doi: 10.11993/j.issn.2096-3920.2019.06.005
Citation: WANG Wei-wei, SUN Hui-song, YAN Hong-lu. A Doppler Estimation Method of Mobile FH-FSK Communication[J]. Journal of Unmanned Undersea Systems, 2019, 27(6): 629-635. doi: 10.11993/j.issn.2096-3920.2019.06.005
shu

A Doppler Estimation Method of Mobile FH-FSK Communication

doi: 10.11993/j.issn.2096-3920.2019.06.005
  • 1.

    Dalian Scientific Test and Control Technology Institute, Dalian 116013, China

  • 2.

    Acoustic Science and Technology Laboratory, Harbin Engineering University, Harbin 150001, China

  • 3.

    Key Laboratory of Marine Information Acquisition and SecurityHarbin Engineering University, Ministry of Industry and Information Technology, Harbin 150001, China

  • 4.

    College of Underwater Acoustic Engineering, Harbin Engineering University, Harbin 150001, China

  • Received Date: 2019-04-06
  • Rev Recd Date: 2019-05-21
  • Publish Date: 2019-12-31
    Abstract
  • During underwater mobile communication, the signals will be affected by Doppler effect. The conventional method for estimating the Doppler frequency offset factor adopts transmission of Doppler sensitive pulse signal. In fre-quency hopping frequency-shift keying(FH-FSK) communication, single chip has better Doppler sensitivity. In this paper, 32 frequency hopping chips are used as synchronizing signals, and Doppler factor estimation is performed for the chips one by one in the synchronizing signal. In the Doppler factor selection, two times of Kalman filtering are performed to obtain the median value so as to make the estimated value more accurate. Considering the influence of the Doppler effect on synchronization, the method of Doppler compensation after synchronization and resynchronization is adopted to further reduce the possibility of misjudgment caused by large synchronization deviation during decoding. Simulation results show that the Doppler factor selection method based on Kalman filter can make the Doppler estimation closer to the theoretical value and reduce the bit error rate after resynchronization. It is proved that this method can improve the accuracy of Doppler estimation and the performance of mobile FH-FSK communication.

     

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