Toeplitz-Based Underwater Acoustic Channel Blind Deconvolution

Siyuan Cang; Johan Sward; Xueli Sheng; Andreas Jakobsson

doi:10.1109/ICSIDP47821.2019.9173249

Toeplitz-Based Underwater Acoustic Channel Blind Deconvolution

Siyuan Cang, Johan Sward, Xueli Sheng, Andreas Jakobsson

Harbin Engineering University

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

Abstract

In this paper, we propose a blind channel deconvolution method based on the Least Absolute Shrinkage and Selection Operator (LASSO). Using a Toeplitz structured formulation of the received signal, we form an iterative blind deconvolution scheme, alternatively estimating the underwater impulse response, and alternatively the transmitted waveform. The resulting optimizations are convex, and we formulate a computationally efficient solver using the Alternating Direction Method of Multipliers (ADMM). We illustrate the performance of the resulting estimator using both simulated and measured underwater signals.

Original language	English
Title of host publication	ICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019
Publisher	IEEE - Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728123455
DOIs	https://doi.org/10.1109/ICSIDP47821.2019.9173249
Publication status	Published - 2020 Aug 21
Event	2019 IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2019 - Chongqing, China Duration: 2019 Dec 11 → 2019 Dec 13

Conference

Conference	2019 IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2019
Country/Territory	China
City	Chongqing
Period	2019/12/11 → 2019/12/13

Subject classification (UKÄ)

Control Engineering

Free keywords

ADMM
Convex Problem
LASSO
Underwater Acoustic Channel

Access to Document

10.1109/ICSIDP47821.2019.9173249

Cite this

@inproceedings{edaadbfad9c44011a9ca5ef03ff17846,

title = "Toeplitz-Based Underwater Acoustic Channel Blind Deconvolution",

abstract = "In this paper, we propose a blind channel deconvolution method based on the Least Absolute Shrinkage and Selection Operator (LASSO). Using a Toeplitz structured formulation of the received signal, we form an iterative blind deconvolution scheme, alternatively estimating the underwater impulse response, and alternatively the transmitted waveform. The resulting optimizations are convex, and we formulate a computationally efficient solver using the Alternating Direction Method of Multipliers (ADMM). We illustrate the performance of the resulting estimator using both simulated and measured underwater signals.",

keywords = "ADMM, Convex Problem, LASSO, Underwater Acoustic Channel",

author = "Siyuan Cang and Johan Sward and Xueli Sheng and Andreas Jakobsson",

year = "2020",

month = aug,

day = "21",

doi = "10.1109/ICSIDP47821.2019.9173249",

language = "English",

booktitle = "ICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019",

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

address = "United States",

note = "2019 IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2019 ; Conference date: 11-12-2019 Through 13-12-2019",

}

Cang, S, Sward, J, Sheng, X & Jakobsson, A 2020, Toeplitz-Based Underwater Acoustic Channel Blind Deconvolution. in ICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019., 9173249, IEEE - Institute of Electrical and Electronics Engineers Inc., 2019 IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2019, Chongqing, China, 2019/12/11. https://doi.org/10.1109/ICSIDP47821.2019.9173249

Toeplitz-Based Underwater Acoustic Channel Blind Deconvolution. / Cang, Siyuan; Sward, Johan; Sheng, Xueli et al.
ICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019. IEEE - Institute of Electrical and Electronics Engineers Inc., 2020. 9173249.

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

TY - GEN

T1 - Toeplitz-Based Underwater Acoustic Channel Blind Deconvolution

AU - Cang, Siyuan

AU - Sward, Johan

AU - Sheng, Xueli

AU - Jakobsson, Andreas

PY - 2020/8/21

Y1 - 2020/8/21

N2 - In this paper, we propose a blind channel deconvolution method based on the Least Absolute Shrinkage and Selection Operator (LASSO). Using a Toeplitz structured formulation of the received signal, we form an iterative blind deconvolution scheme, alternatively estimating the underwater impulse response, and alternatively the transmitted waveform. The resulting optimizations are convex, and we formulate a computationally efficient solver using the Alternating Direction Method of Multipliers (ADMM). We illustrate the performance of the resulting estimator using both simulated and measured underwater signals.

AB - In this paper, we propose a blind channel deconvolution method based on the Least Absolute Shrinkage and Selection Operator (LASSO). Using a Toeplitz structured formulation of the received signal, we form an iterative blind deconvolution scheme, alternatively estimating the underwater impulse response, and alternatively the transmitted waveform. The resulting optimizations are convex, and we formulate a computationally efficient solver using the Alternating Direction Method of Multipliers (ADMM). We illustrate the performance of the resulting estimator using both simulated and measured underwater signals.

KW - ADMM

KW - Convex Problem

KW - LASSO

KW - Underwater Acoustic Channel

U2 - 10.1109/ICSIDP47821.2019.9173249

DO - 10.1109/ICSIDP47821.2019.9173249

M3 - Paper in conference proceeding

AN - SCOPUS:85091896771

BT - ICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019

PB - IEEE - Institute of Electrical and Electronics Engineers Inc.

T2 - 2019 IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2019

Y2 - 11 December 2019 through 13 December 2019

ER -

Toeplitz-Based Underwater Acoustic Channel Blind Deconvolution

Abstract

Conference

Subject classification (UKÄ)

Free keywords

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Cite this