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Toeplitz-Based Underwater Acoustic Channel Blind Deconvolution

Cang, Siyuan LU ; Sward, Johan LU ; Sheng, Xueli and Jakobsson, Andreas LU orcid (2020) 2019 IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2019
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.

Please use this url to cite or link to this publication:
author
; ; and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
ADMM, Convex Problem, LASSO, Underwater Acoustic Channel
host publication
ICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019
article number
9173249
publisher
IEEE - Institute of Electrical and Electronics Engineers Inc.
conference name
2019 IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2019
conference location
Chongqing, China
conference dates
2019-12-11 - 2019-12-13
external identifiers
  • scopus:85091896771
ISBN
9781728123455
DOI
10.1109/ICSIDP47821.2019.9173249
language
English
LU publication?
yes
id
edaadbfa-d9c4-4011-a9ca-5ef03ff17846
date added to LUP
2020-10-22 17:00:23
date last changed
2022-04-19 01:32:00
@inproceedings{edaadbfa-d9c4-4011-a9ca-5ef03ff17846,
  abstract     = {{<p>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.</p>}},
  author       = {{Cang, Siyuan and Sward, Johan and Sheng, Xueli and Jakobsson, Andreas}},
  booktitle    = {{ICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019}},
  isbn         = {{9781728123455}},
  keywords     = {{ADMM; Convex Problem; LASSO; Underwater Acoustic Channel}},
  language     = {{eng}},
  month        = {{08}},
  publisher    = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
  title        = {{Toeplitz-Based Underwater Acoustic Channel Blind Deconvolution}},
  url          = {{http://dx.doi.org/10.1109/ICSIDP47821.2019.9173249}},
  doi          = {{10.1109/ICSIDP47821.2019.9173249}},
  year         = {{2020}},
}