舰船电子工程2026，Vol.46Issue(3)：32-37,6.DOI:10.3969/j.issn.1672-9730.2026.03.008
结合IFF点迹与AIS的民船避警行为识别
Civilian Ship Evade Police Vessels Behavior Recognition Based on IFF Point Traces and AIS Data
摘要
Abstract
To enhance the ability of the marine police command information system to detect abnormal vessel behavior,this study addresses the problem of detecting evasion behavior by civilian ships against police vessels.By integrating police vessel Identi-fication Friend or Foe(IFF)point traces and civilian ship AIS data,a detection method based on a PID-BP neural network predic-tion model and evasion coefficients is proposed.The method constructs a PID-BP neural network prediction model to predict the tra-jectory of civilian ships.It then calculates the evasion coefficients of civilian ships relative to police vessels based on their actual and predicted trajectories.By analyzing the differences in these evasion coefficients,the method computes the probability of evasion and compares it with a preset threshold to determine whether a civilian ship exhibits evasion behavior.Experimental results demonstrate that this method effectively identifies evasion behavior by civilian ships and has practical engineering value.关键词
民船避警/IFF点迹/AIS数据/PID-BP神经网络/避警系数Key words
civilian ship evade police vessels/IFF point traces/AIS data/PID-BP neural network/evasion coefficient分类
信息技术与安全科学引用本文复制引用
涂学海..结合IFF点迹与AIS的民船避警行为识别[J].舰船电子工程,2026,46(3):32-37,6.基金项目
国家重点研发计划"工程科学与综合交叉"专项(编号:2024YFF0505504)资助. （编号:2024YFF0505504）
