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Abstract

This study focuses on a 4FSK-modulated ultraviolet (UV) communication system, introducing an innovative symbol-level maximum likelihood decoding approach based on Poisson statistics. A forward error correction (FEC) coding mechanism is integrated to enhance system robustness. Through Monte Carlo simulations, the proposed decoding scheme and the error correction performances of Reed–Solomon (RS) and Low-Density Parity-Check (LDPC) codes are evaluated in UV channels. Both RS and LDPC codes significantly improve the Bit Error Rate (BER), with LDPC codes achieving superior gains under low SNR conditions. Hardware implementation and field tests validate the decoding algorithm and LDPC-optimized 4FSK system. Under non-line-of-sight (NLOS) conditions (10–45° transmit elevation angle), stable 60 m communication with BER < 10−3 is achieved. In line-of-sight (LOS) scenarios, the system demonstrates 900 m range with BER < 10−3, highlighting practical applicability in challenging atmospheric environments.

Details

1009240
Title
Research on Maximum Likelihood Decoding Algorithm and Channel Characteristics Optimization for 4FSK Ultraviolet Communication System Based on Poisson Distribution
Author
Li, Kuang 1 ; Zhao Yingkai 2   VIAFID ORCID Logo  ; Li Kangjian 1 ; Wang Xingfa 3 ; Li, Linyi 1 ; Zhu Huishi 3 ; Zhang, Weijie 3 ; Liu, Jianguo 3 

 Institute of Semiconductors, Chinese Academy of Sciences, Beijing 100083, China; [email protected] (L.K.); [email protected] (Y.Z.); [email protected] (K.L.); [email protected] (X.W.); [email protected] (L.L.); [email protected] (H.Z.); [email protected] (W.Z.), The College of Materials Science and Opto-Electronic Technology, University of Chinese Academy of Sciences, Beijing 100049, China 
 Institute of Semiconductors, Chinese Academy of Sciences, Beijing 100083, China; [email protected] (L.K.); [email protected] (Y.Z.); [email protected] (K.L.); [email protected] (X.W.); [email protected] (L.L.); [email protected] (H.Z.); [email protected] (W.Z.), School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China 
 Institute of Semiconductors, Chinese Academy of Sciences, Beijing 100083, China; [email protected] (L.K.); [email protected] (Y.Z.); [email protected] (K.L.); [email protected] (X.W.); [email protected] (L.L.); [email protected] (H.Z.); [email protected] (W.Z.) 
Publication title
Photonics; Basel
Volume
12
Issue
5
First page
419
Publication year
2025
Publication date
2025
Publisher
MDPI AG
Place of publication
Basel
Country of publication
Switzerland
Publication subject
e-ISSN
23046732
Source type
Scholarly Journal
Language of publication
English
Document type
Journal Article
Publication history
 
 
Online publication date
2025-04-27
Milestone dates
2025-03-14 (Received); 2025-04-25 (Accepted)
Publication history
 
 
   First posting date
27 Apr 2025
ProQuest document ID
3212091702
Document URL
https://www.proquest.com/scholarly-journals/research-on-maximum-likelihood-decoding-algorithm/docview/3212091702/se-2?accountid=208611
Copyright
© 2025 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Last updated
2025-05-27
Database
ProQuest One Academic