摘要
利用基于关联维数的相位随机化的替代数据法,给出了对船舶运动惯导实测时间序列进行非线性判定和混沌判定的方法,计算结果表明船舶运动纵摇和横摇时间序列中含有非线性成份,指出船舶运动的建模和预报须用非线性时间序列的原因,研究了使用混沌时间序列S判据对船舶运动进行混沌判定的方法。
In this paper surrogate-data method of phase-randomized based on correlation dimension is proposed to identify the nonlinearity and chaos of data obtained by ship inertial navigation system. The result indicate that there is nonlinear factor in ship pitching and rolling. The paper indicates the reason of using nonlinearity in ship modeling and prediction.
出处
《船海工程》
2003年第5期4-6,共3页
Ship & Ocean Engineering
关键词
时间序列
混沌
关联维数
替代数据法
船舶运动
惯导
随机相位法
time series
nonlinearity
chaos
correlation dimension
surrogate-data technique
boat movement
inertial navigation system
