Sparse channel estimation for long range underwater acoustic communication

Weihua Jiang; Roee Diamant

doi:10.1109/ucomms56954.2022.9905683

Sparse channel estimation for long range underwater acoustic communication

Weihua Jiang, Roee Diamant

Department of Marine Technologies

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

Abstract

Long-range underwater acoustic communication (LR-UWAC) is an essential technique for applications such as remotely control of unmanned underwater vehicles, gliders, or tactical submarines for long term monitoring tasks. In this paper, we propose a non-trivial combination of the block subspace pursuit and the distributed subspace pursuit algorithms to exploit the block structure of the channel. The former is aimed to exploit the block structure of LR-UWAC channel, and the latter derives a joint sparse recovery algorithm for efficient LR-UWAC channel estimation. Results from a sea experiment demonstrate the efficiency of our approach to accurately estimate the channel compared to state-of-the-art benchmarks.

Original language	English
Title of host publication	2022 6th Underwater Communications and Networking Conference, UComms 2022
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781665474610
DOIs	https://doi.org/10.1109/ucomms56954.2022.9905683
State	Published - 2022
Event	6th Underwater Communications and Networking Conference, UComms 2022 - Lerici, Italy Duration: 30 Aug 2022 → 1 Sep 2022

Publication series

Name	2022 6th Underwater Communications and Networking Conference, UComms 2022

Conference

Conference	6th Underwater Communications and Networking Conference, UComms 2022
Country/Territory	Italy
City	Lerici
Period	30/08/22 → 1/09/22

Bibliographical note

Publisher Copyright:
© 2022 IEEE.

Keywords

Long-range
block structure
channel estimation
time-invariant
underwater acoustic communication

ASJC Scopus subject areas

Computer Networks and Communications
Signal Processing
Oceanography
Acoustics and Ultrasonics

Access to Document

10.1109/ucomms56954.2022.9905683

Cite this

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title = "Sparse channel estimation for long range underwater acoustic communication",

abstract = "Long-range underwater acoustic communication (LR-UWAC) is an essential technique for applications such as remotely control of unmanned underwater vehicles, gliders, or tactical submarines for long term monitoring tasks. In this paper, we propose a non-trivial combination of the block subspace pursuit and the distributed subspace pursuit algorithms to exploit the block structure of the channel. The former is aimed to exploit the block structure of LR-UWAC channel, and the latter derives a joint sparse recovery algorithm for efficient LR-UWAC channel estimation. Results from a sea experiment demonstrate the efficiency of our approach to accurately estimate the channel compared to state-of-the-art benchmarks.",

keywords = "Long-range, block structure, channel estimation, time-invariant, underwater acoustic communication",

author = "Weihua Jiang and Roee Diamant",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 6th Underwater Communications and Networking Conference, UComms 2022 ; Conference date: 30-08-2022 Through 01-09-2022",

year = "2022",

doi = "10.1109/ucomms56954.2022.9905683",

language = "English",

series = "2022 6th Underwater Communications and Networking Conference, UComms 2022",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2022 6th Underwater Communications and Networking Conference, UComms 2022",

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}

Jiang, W & Diamant, R 2022, Sparse channel estimation for long range underwater acoustic communication. in 2022 6th Underwater Communications and Networking Conference, UComms 2022. 2022 6th Underwater Communications and Networking Conference, UComms 2022, Institute of Electrical and Electronics Engineers Inc., 6th Underwater Communications and Networking Conference, UComms 2022, Lerici, Italy, 30/08/22. https://doi.org/10.1109/ucomms56954.2022.9905683

Sparse channel estimation for long range underwater acoustic communication. / Jiang, Weihua; Diamant, Roee.
2022 6th Underwater Communications and Networking Conference, UComms 2022. Institute of Electrical and Electronics Engineers Inc., 2022. (2022 6th Underwater Communications and Networking Conference, UComms 2022).

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

TY - GEN

T1 - Sparse channel estimation for long range underwater acoustic communication

AU - Jiang, Weihua

AU - Diamant, Roee

PY - 2022

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N2 - Long-range underwater acoustic communication (LR-UWAC) is an essential technique for applications such as remotely control of unmanned underwater vehicles, gliders, or tactical submarines for long term monitoring tasks. In this paper, we propose a non-trivial combination of the block subspace pursuit and the distributed subspace pursuit algorithms to exploit the block structure of the channel. The former is aimed to exploit the block structure of LR-UWAC channel, and the latter derives a joint sparse recovery algorithm for efficient LR-UWAC channel estimation. Results from a sea experiment demonstrate the efficiency of our approach to accurately estimate the channel compared to state-of-the-art benchmarks.

AB - Long-range underwater acoustic communication (LR-UWAC) is an essential technique for applications such as remotely control of unmanned underwater vehicles, gliders, or tactical submarines for long term monitoring tasks. In this paper, we propose a non-trivial combination of the block subspace pursuit and the distributed subspace pursuit algorithms to exploit the block structure of the channel. The former is aimed to exploit the block structure of LR-UWAC channel, and the latter derives a joint sparse recovery algorithm for efficient LR-UWAC channel estimation. Results from a sea experiment demonstrate the efficiency of our approach to accurately estimate the channel compared to state-of-the-art benchmarks.

KW - Long-range

KW - block structure

KW - channel estimation

KW - time-invariant

KW - underwater acoustic communication

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M3 - Conference contribution

AN - SCOPUS:85141605466

T3 - 2022 6th Underwater Communications and Networking Conference, UComms 2022

BT - 2022 6th Underwater Communications and Networking Conference, UComms 2022

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 6th Underwater Communications and Networking Conference, UComms 2022

Y2 - 30 August 2022 through 1 September 2022

ER -

Sparse channel estimation for long range underwater acoustic communication

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this