Deep Neural Network Decoding of Redundant-Bit-Free $2 \times$ Oversampled Waveform Utilizing Inter-Sample Correlation Underwater Optical Wireless Communication
A deep neural network-based decoding method of <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$2 \times$</tex> oversampled waveform samples utilizing inter-sample correlation was investigated, achieving 2.3 dB and 1.1dB gains over threshold detection and maximum likelihood estimation in underwater optical wireless communication
Authors
- Ekkaphol Khansalee
- Md Khaled Hasan
- Masanori Hanawa (ORCID: https://orcid.org/0000-0001-7193-0430)
- Xinyu Wang (ORCID: https://orcid.org/0000-0001-6621-5598)
- Zhu Li
- Taishu Takatsuki
Institutions
- Hangzhou Dianzi University (CN)
- University of Yamanashi (JP)
Publication Details
- Published
- 2025-06-29
- DOI
- https://doi.org/10.23919/oecc/psc62146.2025.11109827
- Primary Topic
- Underwater Vehicles and Communication Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00