• DocumentCode
    441665
  • Title

    Blind equalization of underwater acoustic channel using a novel double mode constant modulus algorithm

  • Author

    Guo, Ye-Cai ; Yin, Zhi-Xiang ; Guo, Yi ; Han, Yin-Ge ; Wei, Rao

  • Author_Institution
    Anhui Univ. of Sci. & Technol., China
  • Volume
    2
  • fYear
    2005
  • fDate
    18-21 Aug. 2005
  • Firstpage
    688
  • Abstract
    A novel double mode constant modulus algorithm (NDMCMA) is presented in this paper to compensate the defects of the least mean Kurtosis constant modulus algorithm (LMKCMA) and the sign algorithm (SA), to effectively utilize the underwater acoustic channel (UWAC) finite bandwidth, and to improve the underwater communication speed. The SA is applied to the LMKCMA and sign LMKCMA (SLMKCMA) is proposed. The SLMKCMA and the LMKCMA are fused to come into being the NDMCMA. Based on the decision of the equalizer´s output, iteration process of the NDMCMA switches between the LMKCMA and the SLMKCMA automatically. The NDMCMA is more robust than the SLMKCMA, and more computationally efficient than the LMKCMA. Therefore, it is very suitable for the recovery of the underwater data transmission. The performance of the NDMCMA is proven by computer simulation for the equalization of the UWAC.
  • Keywords
    bandwidth allocation; blind equalisers; computational complexity; iterative methods; underwater acoustic communication; underwater sound; blind equalization; computer simulation; double mode constant modulus algorithm; iteration process; least mean Kurtosis constant modulus algorithm; sign algorithm; underwater acoustic channel finite bandwidth; underwater communication speed; underwater data transmission; Bandwidth; Baseband; Blind equalizers; Communication switching; Computational complexity; Data communication; Robustness; Switches; Underwater acoustics; Underwater communication; Blind equalization; constant modulus algorithm; least mean kurtosis; underwater communication;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on
  • Conference_Location
    Guangzhou, China
  • Print_ISBN
    0-7803-9091-1
  • Type

    conf

  • DOI
    10.1109/ICMLC.2005.1527032
  • Filename
    1527032