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Toeplitz-based blind deconvolution of underwater acoustic channels using wideband integrated dictionaries

Cang, Siyuan LU ; Swärd, Johan LU ; Sheng, Xueli and Jakobsson, Andreas LU orcid (2021) In Signal Processing 179.
Abstract

In this paper, we propose a blind channel deconvolution method based on a sparse reconstruction framework exploiting a wideband dictionary under the (relatively weak) assumption that the transmitted signal may be assumed to be well modelled as a sum of sinusoids. Using a Toeplitz structured formulation of the received signal, we form an iterative blind deconvolution scheme, alternatively estimating the underwater impulse response and the transmitted waveform. The resulting optimization problems 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.

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author
; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
ADMM, Blind channel deconvolution, Convex problem, Toeplitz structure, Underwater acoustic
in
Signal Processing
volume
179
article number
107812
publisher
Elsevier
external identifiers
  • scopus:85093655835
ISSN
0165-1684
DOI
10.1016/j.sigpro.2020.107812
language
English
LU publication?
yes
id
833fae2f-6227-4e8d-bd0a-e2ddea3ff50f
date added to LUP
2020-11-04 08:19:29
date last changed
2022-04-19 01:37:20
@article{833fae2f-6227-4e8d-bd0a-e2ddea3ff50f,
  abstract     = {{<p>In this paper, we propose a blind channel deconvolution method based on a sparse reconstruction framework exploiting a wideband dictionary under the (relatively weak) assumption that the transmitted signal may be assumed to be well modelled as a sum of sinusoids. Using a Toeplitz structured formulation of the received signal, we form an iterative blind deconvolution scheme, alternatively estimating the underwater impulse response and the transmitted waveform. The resulting optimization problems 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 Swärd, Johan and Sheng, Xueli and Jakobsson, Andreas}},
  issn         = {{0165-1684}},
  keywords     = {{ADMM; Blind channel deconvolution; Convex problem; Toeplitz structure; Underwater acoustic}},
  language     = {{eng}},
  publisher    = {{Elsevier}},
  series       = {{Signal Processing}},
  title        = {{Toeplitz-based blind deconvolution of underwater acoustic channels using wideband integrated dictionaries}},
  url          = {{http://dx.doi.org/10.1016/j.sigpro.2020.107812}},
  doi          = {{10.1016/j.sigpro.2020.107812}},
  volume       = {{179}},
  year         = {{2021}},
}