Joint Channel Estimation, Data Decoding, and Group-Sparse Impulsive Noise Estimation for Slowly Time-Varying Single Carrier Underwater Acoustic Communications Article Swipe
Minhao Zhang
,
Jiang Zhu
,
Yifan Wang
,
Yanbing Fu
,
Yan Wei
,
Xingbin Tu
,
Fengzhong Qu
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1109/access.2024.3374118
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1109/access.2024.3374118
The Gaussian noise assumption is usually made for slowly time-varying underwater acoustic communication (UWAC) systems, which is entirely adequate for most cases. However, certain human activities such as geophysical surveys, multi-beam echosounders and iceberg breakup generate impulsive noise. Consequently, the impulsive noise degrades the designed receiver based on the Gaussian noise model significantly. An optimization formulation which takes the slowly time-varying channel impulse response (CIR), the group-sparse impulsive noise and the encoder structure of the data symbol into account is proposed. To tackle the optimization problem, we propose a joint channel estimation, data decoding and impulsive noise estimation (JCDI) algorithm consisting of two modules named module A and module B, where module A performs the joint channel estimation, data estimation and impulsive noise estimation, while module B uses the low density parity check (LDPC) decoder to decode the encoded data symbols. In particular, the block coordinate descent (BCD) algorithm is proposed, and a smoothed fast iterative threshold soft algorithm (FISTA) is proposed to estimate the group-sparse impulsive noise. Substantial numerical simulations and real experiments are conducted to show the effectiveness of JCDI under impulsive noise, i.e., JCDI achieves lower coded BER than conventional receivers.
Related Topics
Concepts
Decoding methods
Joint (building)
Underwater acoustic communication
Computer science
Channel (broadcasting)
Noise (video)
Underwater
Underwater acoustics
Group (periodic table)
Speech recognition
Telecommunications
Acoustics
Artificial intelligence
Engineering
Physics
Geology
Oceanography
Quantum mechanics
Image (mathematics)
Architectural engineering
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1109/access.2024.3374118
- https://ieeexplore.ieee.org/ielx7/6287639/6514899/10460529.pdf
- OA Status
- gold
- Cited By
- 6
- References
- 28
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4392607655
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4392607655Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1109/access.2024.3374118Digital Object Identifier
- Title
-
Joint Channel Estimation, Data Decoding, and Group-Sparse Impulsive Noise Estimation for Slowly Time-Varying Single Carrier Underwater Acoustic CommunicationsWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-01-01Full publication date if available
- Authors
-
Minhao Zhang, Jiang Zhu, Yifan Wang, Yanbing Fu, Yan Wei, Xingbin Tu, Fengzhong QuList of authors in order
- Landing page
-
https://doi.org/10.1109/access.2024.3374118Publisher landing page
- PDF URL
-
https://ieeexplore.ieee.org/ielx7/6287639/6514899/10460529.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://ieeexplore.ieee.org/ielx7/6287639/6514899/10460529.pdfDirect OA link when available
- Concepts
-
Decoding methods, Joint (building), Underwater acoustic communication, Computer science, Channel (broadcasting), Noise (video), Underwater, Underwater acoustics, Group (periodic table), Speech recognition, Telecommunications, Acoustics, Artificial intelligence, Engineering, Physics, Geology, Oceanography, Quantum mechanics, Image (mathematics), Architectural engineeringTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
6Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 4, 2024: 2Per-year citation counts (last 5 years)
- References (count)
-
28Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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