Variable tap-length blind equalization for underwater acoustic communication

Zhiyong Liu; Yinyin Wang; Fan Bai

doi:10.1007/978-3-030-00557-3_13

Variable tap-length blind equalization for underwater acoustic communication

Zhiyong Liu^*
, Yinyin Wang
, Fan Bai

^*Corresponding author for this work

School of Information Science and Engineering, Harbin Institute of Technology Weihai
Key Laboratory of Science and Technology on Information Transmission and Dissemination in Communication

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

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.

Original language	English
Title of host publication	Machine Learning and Intelligent Communications - 3rd International Conference, MLICOM 2018, Proceedings
Editors	Limin Meng, Yan Zhang
Publisher	Springer Verlag
Pages	127-135
Number of pages	9
ISBN (Print)	9783030005566
DOIs	https://doi.org/10.1007/978-3-030-00557-3_13
State	Published - 2018
Externally published	Yes
Event	3rd International Conference on Machine Learning and Intelligent Communications, MLICOM 2018 - Hangzhou, China Duration: 6 Jul 2018 → 8 Jul 2018

Publication series

Name	Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
Volume	251
ISSN (Print)	1867-8211

Conference

Conference	3rd International Conference on Machine Learning and Intelligent Communications, MLICOM 2018
Country/Territory	China
City	Hangzhou
Period	6/07/18 → 8/07/18

Keywords

Equalizers
Modified constant modulus algorithm (MCMA)
Underwater acoustic communication
Variable tap-length

Access to Document

10.1007/978-3-030-00557-3_13

Cite this

Liu, Z., Wang, Y., & Bai, F. (2018). Variable tap-length blind equalization for underwater acoustic communication. In L. Meng, & Y. Zhang (Eds.), Machine Learning and Intelligent Communications - 3rd International Conference, MLICOM 2018, Proceedings (pp. 127-135). (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST; Vol. 251). Springer Verlag. https://doi.org/10.1007/978-3-030-00557-3_13

Liu, Zhiyong ; Wang, Yinyin ; Bai, Fan. / Variable tap-length blind equalization for underwater acoustic communication. Machine Learning and Intelligent Communications - 3rd International Conference, MLICOM 2018, Proceedings. editor / Limin Meng ; Yan Zhang. Springer Verlag, 2018. pp. 127-135 (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST).

@inproceedings{70761fd2b9854fb48f8117cc9bcbb0c4,

title = "Variable tap-length blind equalization for underwater acoustic communication",

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.",

keywords = "Equalizers, Modified constant modulus algorithm (MCMA), Underwater acoustic communication, Variable tap-length",

author = "Zhiyong Liu and Yinyin Wang and Fan Bai",

note = "Publisher Copyright: {\textcopyright} ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2018.; 3rd International Conference on Machine Learning and Intelligent Communications, MLICOM 2018 ; Conference date: 06-07-2018 Through 08-07-2018",

year = "2018",

doi = "10.1007/978-3-030-00557-3\_13",

language = "英语",

isbn = "9783030005566",

series = "Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST",

publisher = "Springer Verlag",

pages = "127--135",

editor = "Limin Meng and Yan Zhang",

booktitle = "Machine Learning and Intelligent Communications - 3rd International Conference, MLICOM 2018, Proceedings",

address = "德国",

}

Liu, Z, Wang, Y & Bai, F 2018, Variable tap-length blind equalization for underwater acoustic communication. in L Meng & Y Zhang (eds), Machine Learning and Intelligent Communications - 3rd International Conference, MLICOM 2018, Proceedings. Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, vol. 251, Springer Verlag, pp. 127-135, 3rd International Conference on Machine Learning and Intelligent Communications, MLICOM 2018, Hangzhou, China, 6/07/18. https://doi.org/10.1007/978-3-030-00557-3_13

Variable tap-length blind equalization for underwater acoustic communication. / Liu, Zhiyong; Wang, Yinyin; Bai, Fan.
Machine Learning and Intelligent Communications - 3rd International Conference, MLICOM 2018, Proceedings. ed. / Limin Meng; Yan Zhang. Springer Verlag, 2018. p. 127-135 (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST; Vol. 251).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Variable tap-length blind equalization for underwater acoustic communication

AU - Liu, Zhiyong

AU - Wang, Yinyin

AU - Bai, Fan

N1 - Publisher Copyright: © ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2018.

PY - 2018

Y1 - 2018

N2 - 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.

AB - 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.

KW - Equalizers

KW - Modified constant modulus algorithm (MCMA)

KW - Underwater acoustic communication

KW - Variable tap-length

UR - https://www.scopus.com/pages/publications/85055576294

U2 - 10.1007/978-3-030-00557-3_13

DO - 10.1007/978-3-030-00557-3_13

M3 - 会议稿件

AN - SCOPUS:85055576294

SN - 9783030005566

T3 - Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST

SP - 127

EP - 135

BT - Machine Learning and Intelligent Communications - 3rd International Conference, MLICOM 2018, Proceedings

A2 - Meng, Limin

A2 - Zhang, Yan

PB - Springer Verlag

T2 - 3rd International Conference on Machine Learning and Intelligent Communications, MLICOM 2018

Y2 - 6 July 2018 through 8 July 2018

ER -

Liu Z, Wang Y, Bai F. Variable tap-length blind equalization for underwater acoustic communication. In Meng L, Zhang Y, editors, Machine Learning and Intelligent Communications - 3rd International Conference, MLICOM 2018, Proceedings. Springer Verlag. 2018. p. 127-135. (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST). doi: 10.1007/978-3-030-00557-3_13

Variable tap-length blind equalization for underwater acoustic communication

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Keywords

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