摘要
考虑到船舶通信在实际工作中极易遭受环境噪声和外界干扰信号的扰动,导致信号数据收发精度性差与稳定性低等问题.基于此,本文分析LoT与大数据分析的技术特点,提出了一种基于两种技术融合的船舶网络信息通信的抗扰方法.通过数据识别提取信号特征,并对观测信号进行扩频,与多组滤波实现信号抗扰的有效控制.技术实现与数据分析表明,该抗扰方法能有效地抑制船舶信息通信受到的干扰,具有一定的借鉴意义.
Considering that ship communication is easily disturbed by environmental noise and external interference signals in practical work,resulting in poor accuracy and stability of signal data transmission and reception.Based on the analysis of technical characteristics of LoT and big data analysis,this paper proposes an anti-interference method for ship network information communication based on the fusion of two technologies.The signal features are extracted through data recognition,and the observed signals are spread spectrum and multi group filtering to realize the effective control of signal immunity.The technical implementation and data analysis show that the anti-interference method can effectively suppress the interference received by ship information communication,which has a certain reference significance.
作者
殷益文
YIN Yi-wen(723 Research Institute of China Shipbuilding Industry Corporation,Jiangsu Yangzhou 225000,China)
出处
《新一代信息技术》
2022年第2期46-49,共4页
New Generation of Information Technology
关键词
大数据分析
物联网
船舶通信
抗干扰
big data analysis
Internet of Things
ship communication
anti-interference