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.
The work was supported by Shandong Provincial Natural Science Foundation of China (ZR2016FM02), National Natural Science Foundation of China (61201145), the Graduate Education and Teaching Reform Research Project in Harbin Institute of Technology (JGYJ-201625) and the Foundation of Key Laboratory of Communication Network Information Transmission and Dissemination.
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© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Liu, Z., Wang, Y., Bai, F. (2018). Variable Tap-Length Blind Equalization for Underwater Acoustic Communication. In: Meng, L., Zhang, Y. (eds) Machine Learning and Intelligent Communications. MLICOM 2018. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 251. Springer, Cham. https://doi.org/10.1007/978-3-030-00557-3_13
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DOI: https://doi.org/10.1007/978-3-030-00557-3_13
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