Dr Zhuangkun Wei zhuangkun.wei@durham.ac.uk
Assistant Professor
Dr Zhuangkun Wei zhuangkun.wei@durham.ac.uk
Assistant Professor
Wenxiu Hu
Dahai Han
Min Zhang
Bin Li
Chenglin Zhao
One primary challenge in wireless ultraviolet communications (UVCs) is the inter-symbol-interference (ISI), which may block the detection of current informative signal, especially when channel-related characteristics are unknown. In this paper, we propose a UV channel-related Bayesian scheme that can simultaneously estimate the channel characteristics and detect informative signals, which therefore can address the ISI disturbance. By investigating the UV single-scattering photon model, the dynamic behaviors of the channel state information (CSI), which involve the uncertain signal and the unknown channel parameters are formulated. Hence, a sequential Bayesian process is suggested to estimate the UV CSI. Numerical analysis shows that the proposed scheme can obtain a promising estimation performance (i.e., the relative errors are less than 4%), and gain an extra 4dB detection performance compared with imperfect maximum-likelihood sequence detection (MLSD) scheme.
Wei, Z., Hu, W., Han, D., Zhang, M., Li, B., & Zhao, C. (2018). Simultaneous channel estimation and signal detection in wireless ultraviolet communications combating inter-symbol-interference. Optics Express, 26(3), 3260-3270. https://doi.org/10.1364/oe.26.003260
Journal Article Type | Article |
---|---|
Online Publication Date | Jan 30, 2018 |
Publication Date | Feb 5, 2018 |
Deposit Date | Feb 12, 2025 |
Journal | Optics Express |
Electronic ISSN | 1094-4087 |
Publisher | Optica |
Peer Reviewed | Peer Reviewed |
Volume | 26 |
Issue | 3 |
Pages | 3260-3270 |
DOI | https://doi.org/10.1364/oe.26.003260 |
Public URL | https://durham-repository.worktribe.com/output/3479564 |
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