A Pre-equalization Method based on Prior Model in Underwater Optical Communication

ZHANG Lei; AO Jun; SHI Jun-Jie

doi:10.13756/j.gtxyj.2021.02.005

您当前的位置：

首页 >

文章列表页 >

A Pre-equalization Method based on Prior Model in Underwater Optical Communication

- A Pre-equalization Method based on Prior Model in Underwater Optical Communication
- Study on Optical Communications Issue 2, Pages: 26-30,47(2021)
- 作者机构：
  
  桂林电子科技大学信息与通信学院，广西　桂林　541000
- 作者简介：
- 基金信息：
- DOI：10.13756/j.gtxyj.2021.02.005
  CLC： TN929
- Published：10 April 2021，
  
  Received：21 October 2020，
扫描看全文
ZHANG Lei, AO Jun, SHI Jun-Jie. A Pre-equalization Method based on Prior Model in Underwater Optical Communication. [J]. Study on Optical Communications (2):26-30,47(2021)
DOI：

ZHANG Lei, AO Jun, SHI Jun-Jie. A Pre-equalization Method based on Prior Model in Underwater Optical Communication. [J]. Study on Optical Communications (2):26-30,47(2021) DOI： 10.13756/j.gtxyj.2021.02.005.

摘要

由于海水的散射特性，光在水下传输时会产生码间串扰（ISI）问题，传输环境较差时尤为严重。为解决该问题，文章将预均衡技术应用于基于直流偏置光正交频分复用（DCO-OFDM）调制的水下光通信系统中，并针对水下光的传输特性提出了一种基于先验信息的预均衡方法。在浑浊海港海水环境下与传统均衡算法进行了性能对比。仿真结果表明，在信噪比（SNR）较差的情况下，采用所提方法能够有效降低水下光通信系统的ISI，降低了误码可能性，提高了信道估计的可靠性。相比于最小二乘（LS）后均衡算法，误码率能下降约3.56 dB，相比于LS预均衡算法，误码率能下降约3.00 dB，相较于最小均方误差（MMSE）和最小均方（LMS）后均衡算法，误码率下降约1.85 dB。

Abstract

Due to seawater scattering characteristics

Inter-Symbol Interference (ISI) will occur in underwater transmission

especially in poor transmission environment. In order to solve this problem

pre-equalization technology is applied to underwater optical communication system based on Direct Current Offset Orthogonal Frequency Division Multiplexing (DCO-OFDM) modulation

and a pre-equalization method based on prior information is proposed. The performance of Turbid Harbor seawater channel is compared with that of traditional equalization algorithm. The simulation results show that the ISI in underwater optical communication system can be effectively reduced

as well as the Bit Error Rate (BER). The reliability of channel estimation can be improved under the condition of poor Signal Noise Ratio (SNR). Compared with the Least Squares (LS) post-equalization

LS pre-equalization and Mini-mental State Examination (MMSE) algorithms

the BER can be reduced by~3.56

~3.00 and~1.85 dB

respectively.

关键词

水下无线光通信均衡技术基于直流偏置光正交频分复用海水信道

Keywords

underwater wireless optical communicationequalization techniqueDCO-OFDMseawater channel

references

Zeng Z, Fu S, Zhang H, et al. A Survey of Underwater Optical Wireless Communications[J]. IEEE Communications Surveys & Tutorials, 2017, 19(1): 204-238.

郭银景, 徐锋, 屈衍玺, 等.水下可见光通信关键技术综述[J].光通信研究, 2020(2): 1-6, 19.

Tang S, Dong Y, Zhang X. Impulse Response Modeling for Underwater Wireless Optical Communication Links[J]. IEEE Transactions on Communications, 2014, 62(1): 226-234.

孟凡, 孙海港, 安青青.可见光通信系统中关键技术研究[J].电信技术, 2018(1): 46-48.

Simeone O, Bar-Ness Y, Spagnolini U. Linear and Nonlinear Preequalization/Equalization for MIMO Systems with Long-term Channel State Information at the Transmitter[J]. IEEE Transactions on Wireless Communications, 2004, 3(2): 373-378.

刘勇.多径衰落信道中OFDM系统预均衡技术的研究[D].重庆: 重庆邮电大学, 2019.

Armstrong J.OFDM for Optical Communications[J]. Journal of Lightwave Technology, 2009, 27(3): 189-204.

张颖, 庞铄.基于DCO-OFDM的无线光通信系统性能分析[J].中国新通信, 2016, 18(13): 136-137.

Elamassie M, Karbalayghareh M, Miramirkhani F, et al. Adaptive DCO-OFDM for Underwater Visible Light Communications[C]//2019 27th Signal Processingand Communications Applications Conference(SIU). Sivas, Turkey: IEEE, 2019: 8806323.

Hema R, Sudha , Aarthi K. Performance Studies of MIMO based DCO-OFDM in Underwater Wireless Optical Communication Systems[J]. Journal of Marine Ence and Technology, 2020(5): s00773-020-00724-7.

敖珺, 姚猛, 马春波.基于MIMO的水下LED光通信系统的设计[J].光通信技术, 2017, 41(9): 24-27.

Huang X, Wang Z, Shi J, et al.16 Gbit/s Phosphorescent White LED based VLC Transmission Using a Cascaded Pre-equalization Circuit and a Differential Outputs PIN Receiver[J]. Optics Express, 2015, 23(17): 22034-22042.

Gabriel C, Khalighi M A, Bourennane S, et al. Monte-Carlo-based Channel Characterization for Underwater Optical Communication Systems[J]. IEEE/OSA Journal of Optical Communications & Networking, 2013, 5(1): 1-12.

阎旭光.基于蒙特卡罗模拟的海水光信道特性研究[D].武汉: 华中科技大学, 2004.

Henyey L G, Greenstein J L. Diffuse Radiation in the Galaxy[J]. The Astrophysical Journal, 1940, 93: 70-83.

Petzold T J. Volume Scattering Functions for Selected Ocean Waters[M]. La Jolla: Scripps Institution of O-ceanography, 2007.

Dong Y, Zhang H, Zhang X. On Impulse Response Modeling for Underwater Wireless Optical MIMO Links[C]//2014 IEEE/CIC International Conference on Communications in China. Shanghai, China: IEEE, 2015: 7008262.

更多指标>

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Analysis of the Influence of Seawater Channel Laser Transmission Distance on the Receiver Sensitivity

Related Author

No data

Related Institution

School of Electronic Engineering, Xi’an University of Posts and Telecommunications

⁰