Toeplitz-Based Underwater Acoustic Channel Blind Deconvolution
(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:
https://lup.lub.lu.se/record/edaadbfa-d9c4-4011-a9ca-5ef03ff17846
- author
- Cang, Siyuan LU ; Sward, Johan LU ; Sheng, Xueli and Jakobsson, Andreas LU
- organization
- publishing date
- 2020-08-21
- 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}}, }