一种水下光通信中基于先验模型的预均衡方法

张磊; 敖珺; 石俊杰

doi:10.13756/j.gtxyj.2021.02.005

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一种水下光通信中基于先验模型的预均衡方法

光通信系统与网络技术

- 一种水下光通信中基于先验模型的预均衡方法
- A Pre-equalization Method based on Prior Model in Underwater Optical Communication
- 光通信研究 2021年第2期页码：26-30,47
- 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：
  
  张磊（1994-），女，河北张家口人。硕士，主要研究方向为无线光通信。
  敖珺，教授。Emailjunjunao1@263.net
- 基金信息：
  
  广西自然科学基金资助项目(2018GXNSFAA294056)
- DOI：10.13756/j.gtxyj.2021.02.005
  中图分类号： TN929
- 纸质出版日期：2021-04-10，
  
  收稿日期：2020-10-21，
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张磊, 敖珺, 石俊杰. 一种水下光通信中基于先验模型的预均衡方法[J]. 光通信研究, 2021,(2):26-30,47.

ZHANG Lei, AO Jun, SHI Jun-Jie. A Pre-equalization Method based on Prior Model in Underwater Optical Communication[J]. Study on Optical Communications, 2021,(2):26-30,47.
张磊, 敖珺, 石俊杰. 一种水下光通信中基于先验模型的预均衡方法[J]. 光通信研究, 2021,(2):26-30,47. DOI： 10.13756/j.gtxyj.2021.02.005.

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

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