摘要
为了辅助船舶驾驶人员即时掌握目标船的运动状态,本文将对雷达探测设备每采样时刻获取的目标数据,应用Kalman滤波技术对目标的运动状态进行在线估计,并实时预估目标船相对于本船的最近会遇距离DCPA和最近会遇时间TCPA。仿真结果表明,该方法既能有效抑制噪声的干扰,又能达到提前预测目标船态势和帮助驾驶员提前做好避碰准备与应急措施等目的。
In order to assistant shipping driver grasp the motion state of target ship instantly, this paper uses Kalman filter technology to do on-line estimate about the motion state of target, and the target data are obtained from radar detection equipment in every sampling instant, and momentarily forecasts the DCPA and TCPA. The result of the simulation indicates that the method can not only restrain noise disturbance effectively, but also achieve the aim such as forecast situation of target ship ahead of time, helping the driver to prepare for avoiding collision ahead and lash-up measure etc.
出处
《微计算机信息》
北大核心
2007年第31期187-189,共3页
Control & Automation
基金
船舶工业国防科技预研基金项目(编号不公开)
江苏省教育厅资助项目(2004DX029J)
关键词
KALMAN滤波
船舶跟踪
最近会遇距离
最近会遇时间
Kalman filter ,shipping trace,distance of the closest point of approach （DCPT）,tlme to the closest point of approach（TCPA）
