An improved least mean square/fourth direct adaptive equalizer for under-water acoustic communications in the Arctic

Yanan Tian; Xiao Han; Jingwei Yin; Hongxia Chen; Qingyu Liu

doi:10.1007/s13131-020-1653-6

Volume 39 Issue 9

Sep. 2020

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Yanan Tian, Xiao Han, Jingwei Yin, Hongxia Chen, Qingyu Liu. An improved least mean square/fourth direct adaptive equalizer for under-water acoustic communications in the Arctic[J]. Acta Oceanologica Sinica, 2020, 39(9): 133-139. doi: 10.1007/s13131-020-1653-6

Citation:

Yanan Tian, Xiao Han, Jingwei Yin, Hongxia Chen, Qingyu Liu. An improved least mean square/fourth direct adaptive equalizer for under-water acoustic communications in the Arctic[J]. Acta Oceanologica Sinica, 2020, 39(9): 133-139. doi: 10.1007/s13131-020-1653-6

Citation:

Yanan Tian, Xiao Han, Jingwei Yin, Hongxia Chen, Qingyu Liu. An improved least mean square/fourth direct adaptive equalizer for under-water acoustic communications in the Arctic[J]. Acta Oceanologica Sinica, 2020, 39(9): 133-139. doi: 10.1007/s13131-020-1653-6

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An improved least mean square/fourth direct adaptive equalizer for under-water acoustic communications in the Arctic

doi: 10.1007/s13131-020-1653-6

Yanan Tian^{1, 2, 3},
Xiao Han^{1, 2, 3
,
,},
Jingwei Yin^{1, 2, 3},
Hongxia Chen⁴,
Qingyu Liu⁵

1.
Acoustic Science and Technology Laboratory, Harbin Engineering University, Harbin 150001, China
2.
Key Laboratory of Marine Information Acquisition and Security (Harbin Engineering University), Ministry of Industry and Information Technology, Harbin 150001, China
3.
College of Underwater Acoustic Engineering, Harbin Engineering University, Harbin 150001, China
4.
First Institute of Oceanography, Ministry of Natural Resources, Qingdao 266061, China
5.
Naval Research Academy, Beijing 100161, China

Funds: The National Natural Science Foundation of China under contract Nos 61631008 and 61901136; the National Key Research and Development Program of China under contract No. 2018YFC1405904; the Fok Ying-Tong Education Foundation under contract No. 151007; the Heilongjiang Province Outstanding Youth Science Fund under contract No. JC2017017; the Opening Funding of Science and Technology on Sonar Laboratory under contract No. 6142109KF201802; the Innovation Special Zone of National Defense Science and Technology.

More Information

Corresponding author: E-mail: hanxiao1322@hrbeu.edu.cn
Received Date: 2019-10-13
Accepted Date: 2019-11-13

Available Online: 2020-12-28

Publish Date: 2020-09-25

Abstract

Abstract

An improved least mean square/fourth direct adaptive equalizer (LMS/F-DAE) is proposed in this paper for underwater acoustic communication in the Arctic. It is able to process complex-valued baseband signals and has better equalization performance than LMS. Considering the sparsity feature of equalizer tap coefficients, an adaptive norm (AN) is incorporated into the cost function which is utilized as a sparse regularization. The norm constraint changes adaptively according to the amplitude of each coefficient. For small-scale coefficients, the sparse constraint exists to accelerate the convergence speed. For large-scale coefficients, it disappears to ensure smaller equalization error. The performance of the proposed AN-LMS/F-DAE is verified by the experimental data from the 9th Chinese National Arctic Research Expedition. The results show that compared with the standard LMS/F-DAE, AN-LMS/F-DAE can promote the sparse level of the equalizer and achieve better performance.
- underwater acoustic communication,
- the Arctic,
- direct adaptive equalizer,
- adaptive norm

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References(24)

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