| 1. |
- Cang, Siyuan, et al.
(författare)
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Robust Deconvolution of Underwater Acoustic Channels Corrupted by Impulsive Noise
- 2022
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Ingår i: 2022 5th International Conference on Information Communication and Signal Processing, ICICSP 2022. - 9781665485890 ; , s. 571-576
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Konferensbidrag (refereegranskat)abstract
- Impulsive noise is one of the most challenging forms of interference in an underwater acoustic environment. In this paper, we present an underwater acoustic channel deconvolution method based on a sparse representation framework. The application of the method enables a channel impulse response reconstruction that is robust to impulsive noise. By exploiting the inherent structure in the channel response, the measured signal may be expressed as depending on the unknown channel in a multiplicative manner, enabling an efficient deconvolution framework. This allow us introduce an lp-norm optimization framework that is then adopted to deconvoluting the under-water acoustic channel in the presence of impulsive noise. The resulting framework is efficiently solved using the alternating direction method of multipliers (ADMM). The performance of the proposed algorithm is demonstrated using simulations and experimental data collected from South China Sea.
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| 2. |
- Cang, Siyuan, et al.
(författare)
-
Toeplitz-based blind deconvolution of underwater acoustic channels using wideband integrated dictionaries
- 2021
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Ingår i: Signal Processing. - : Elsevier BV. - 0165-1684. ; 179
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Tidskriftsartikel (refereegranskat)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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| 3. |
- Cang, Siyuan, et al.
(författare)
-
Toeplitz-Based Underwater Acoustic Channel Blind Deconvolution
- 2020
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Ingår i: ICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019. - 9781728123455
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Konferensbidrag (refereegranskat)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.
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