Machine Learning and Intelligent Communications. Third International Conference, MLICOM 2018, Hangzhou, China, July 6-8, 2018, Proceedings

Research Article

Variable Tap-Length Blind Equalization for Underwater Acoustic Communication

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  • @INPROCEEDINGS{10.1007/978-3-030-00557-3_13,
        author={Zhiyong Liu and Yinyin Wang and Fan Bai},
        title={Variable Tap-Length Blind Equalization for Underwater Acoustic Communication},
        proceedings={Machine Learning and Intelligent Communications. Third International Conference, MLICOM 2018, Hangzhou, China, July 6-8, 2018, Proceedings},
        proceedings_a={MLICOM},
        year={2018},
        month={10},
        keywords={Underwater acoustic communication Equalizers Modified constant modulus algorithm (MCMA) Variable tap-length},
        doi={10.1007/978-3-030-00557-3_13}
    }
    
  • Zhiyong Liu
    Yinyin Wang
    Fan Bai
    Year: 2018
    Variable Tap-Length Blind Equalization for Underwater Acoustic Communication
    MLICOM
    Springer
    DOI: 10.1007/978-3-030-00557-3_13
Zhiyong Liu,*, Yinyin Wang1,*, Fan Bai1,*
  • 1: Harbin Institute of Technology (Weihai)
*Contact email: lzyhit@aliyun.com, wcuteyy@163.com, 694683139@qq.com

Abstract

In view of the characteristics of underwater acoustic channel, a blind equalization algorithm for underwater acoustic communication based on variable tap length is proposed. On the basis of the normalized modified constant modulus algorithm (MCMA), the algorithm adjusts the length of the tap through the update algorithm to realize the blind equalization of the underwater acoustic channel. The simulation shows that the algorithm adaptively adjusts the length of the taps to the optimal. Compared with the traditional blind equalization algorithm, the performance of the system is improved.