Toeplitz-based blind deconvolution of underwater acoustic channels using wideband integrated dictionaries
(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.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/833fae2f-6227-4e8d-bd0a-e2ddea3ff50f
- author
- Cang, Siyuan LU ; Swärd, Johan LU ; Sheng, Xueli and Jakobsson, Andreas LU
- organization
- publishing date
- 2021
- 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}}, }