数据融合在船舶避碰中的应用研究  

Application of Data Fusion in Ship's Collosion Avoidance

作　　者：李萍[1,2] 刘以安[1] 

机构地区：[1]江南大学信息工程学院,江苏无锡214036 [2]无锡职业技术学院,江苏无锡214073

出　　处：《船海工程》2009年第2期160-163,共4页Ship & Ocean Engineering

基　　金：船舶工业国防科技预研基金(04J1.1.3);江苏省教育厅资助项目(2004DX029J)

摘　　要：针对船舶避碰决策系统中的船舶运动趋势和避碰时机建立数学模型,实时预估目标船相对于本船的最近会遇距离和最近会遇时间。同时,针对预测模型误差大的问题,提出了先缓冲后预测方法,并对缓冲算子作了改进,弱化其随机性。应用数据融合技术,给出系统的数据融合处理模型,进一步改善和提高系统跟踪目标的精度。仿真结果表明,该方法是有效、可行的。Aiming at shipping movement and the time of collision avoidance in decision-making collision avoidance, a mathematical model was used for ship collision avoidance and to forecast the DCPA and TCPA. At the same time, the method to forecast after buffering was proposed to solve the problem of large error in the prediction model. The buffer operator was improved to attenuate randomness. Then, the authors applied data fusion techniques after buffering and gave the system model of data fusion to further improve the tracking precision. The simulation results indicated that the method is effective and feasible.

关 键 词：船舶避碰 数据融合 缓冲算子 最近会遇距离 最近会遇时间 

分 类 号：U675.96[交通运输工程—船舶及航道工程]