摘要
为提高船舶AIS网络通信异常数据修正效果,设计一个船舶AIS网络通信异常数据修正方法。首先对通信网络异常数据进行分析,然后采用神经网络对异常数据做了数据融合处理,最后采用小波变换方法对船舶AIS网络通信异常数据修正。仿真分析表明,此次研究的船舶AIS网络通信异常数据修正方法能够有效地将异常点恢复到原始点上,证明了所研究的修正方法的有效性。
In order to improve the effect of ship AIS network communication abnormal data correction,a method for ship AIS network communication abnormal data correction is designed.First,analyze the abnormal data of the communication network,then use the neural network to perform data fusion processing on the abnormal data,and finally use the wavelet transform method to correct the abnormal data of the ship’s AIS network communication.Simulation analysis shows that the method for correcting abnormal data in ship AIS network communication can effectively restore the abnormal point to the original point,which proves the effectiveness of the researched correction method.
作者
司明
金立群
SI Ming;JIN Li-qun(Xinxiang Vocational and Technical College,Xinxiang 453000,China;Shijiazhuang University of Applied Technology,Shijiazhang 050081,China)
出处
《舰船科学技术》
北大核心
2021年第18期151-153,共3页
Ship Science and Technology
基金
国家青年科学基金项目(61703149)
关键词
船舶AIS
网络通信
异常数据
修正
融合
神经网络
ship AIS
network communication
abnormal data
correction
fusion
neural network
