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Photon-Counting Underwater Optical Wireless Communication for Reliable Video Transmission Using Joint Source-Channel Coding Based on Distributed Compressive Sensing
Hong, Zhu1; Yan, Qiurong1,2; Li, Zihang1; Zhan, Ting1; Wang, Yuhao1
Department光电子学研究室
2019-03-01
Source PublicationSENSORS
ISSN1424-8220
Volume19Issue:5
Contribution Rank2
Abstract

To achieve long-distance underwater optical wireless communication, a single photon detector with single photon limit sensitivity is used to detect the optical signal at the receiver. The communication signal is extracted from the discrete single photon pulses output from the detector. Due to fluctuation of photon flux and quantum efficiency of photon detection, long-distance underwater optical wireless communication has the characteristics that the link is easily interrupted, the bit error rate is high, and the burst error is large. To achieve reliable video transmission, a joint source-channel coding scheme based on residual distributed compressive video sensing is proposed for the underwater photon counting communication system. Signal extraction from single photon pulses, data frame and data verification are specifically designed. This scheme greatly reduces the amount of data at the transmitter, transfers the computational complexity to the decoder in receiver, and enhances anti-channel error ability. The experimental results show that, when the baud rate was 100 kbps and the average number of photon pulses per bit was 20, the bit error rate (BER) was 0.0421 and video frame could still be restored clearly.

Keywordphoton-counting underwater optical wireless communication distributed compressive video sensing
DOI10.3390/s19051042
Indexed BySCI
Language英语
WOS IDWOS:000462540400061
PublisherMDPI
Citation statistics
Document Type期刊论文
Identifierhttp://ir.opt.ac.cn/handle/181661/31358
Collection光电子学研究室
Corresponding AuthorYan, Qiurong
Affiliation1.Nanchang Univ, Sch Informat Engn, Nanchang 330031, Jiangxi, Peoples R China
2.Chinese Acad Sci, State Key Lab Transient Opt & Photon, Xian Inst Opt & Precis Mech, Xian 710119, Shaanxi, Peoples R China
Recommended Citation
GB/T 7714
Hong, Zhu,Yan, Qiurong,Li, Zihang,et al. Photon-Counting Underwater Optical Wireless Communication for Reliable Video Transmission Using Joint Source-Channel Coding Based on Distributed Compressive Sensing[J]. SENSORS,2019,19(5).
APA Hong, Zhu,Yan, Qiurong,Li, Zihang,Zhan, Ting,&Wang, Yuhao.(2019).Photon-Counting Underwater Optical Wireless Communication for Reliable Video Transmission Using Joint Source-Channel Coding Based on Distributed Compressive Sensing.SENSORS,19(5).
MLA Hong, Zhu,et al."Photon-Counting Underwater Optical Wireless Communication for Reliable Video Transmission Using Joint Source-Channel Coding Based on Distributed Compressive Sensing".SENSORS 19.5(2019).
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