location:Home > 2019 Vol.2 Oct. No.5 > Research on Turbo Equalization Algorithm in Underwater Acoustic Communication

2019 Vol.2 Oct. No.5

  • Title: Research on Turbo Equalization Algorithm in Underwater Acoustic Communication
  • Name: Xuan Yu ,Xuan Geng
  • Company: School of Information Engineering, Shanghai Maritime University
  • Abstract:

    Since Turbo equalization technology plays an important role in underwater acoustic channel communication, this paper analyzes and summarizes the existing Turbo equalization algorithm. Firstly, according to the signal processing process, it is divided into time domain equalization and frequency domain equalization. The algorithm implementation and characteristics of linear and decision feedback structures under two kinds of equalization algorithms are summarized respectively. Then the frequency-time domain Turbo equalization algorithm is introduced. Finally, the complexity and anti-interference performance of different algorithms are analyzed comprehensively. The analysis shows that the computational complexity of the linear equalization algorithm based on the minimum mean square error criterion is relatively high in the time domain and the frequency domain, and the decision feedback equalization algorithm will cause a certain error propagation. The time-frequency domain Turbo equalization algorithm not only retains the low bit error rate performance, but also has low computational complexity. It is a better technology in the current Turbo equalization field and has a very good development space in the future.

  • Keyword: Turbo equalization; minimum mean square error; decision feedback
  • DOI: 10.12250/jpciams2019050548
  • Citation form: Xuan Yu ,Xuan Geng.Research on Turbo Equalization Algorithm in Underwater Acoustic Communication[J]. Computer Informatization and Mechanical System, 2019, vol. 2, pp. 58-62.
Reference:

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[7] Junyi Xi, Shefeng Yan, Lijun Xu, Zhen Zhang, Di Zeng. Frequency–Time Domain Turbo Equalization for Underwater Acoustic Communications [J]. IEEE Journal of Oceanic Engineering, 2019.


 


Tsuruta Institute of Medical Information Technology
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