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机构地区:[1]海军潜艇学院,山东青岛266001
出 处:《舰船科学技术》2016年第10期125-128,132,共5页Ship Science and Technology
摘 要:为减小舰船直航时风、流、摇摆等干扰对电罗经航向的影响,提高电罗经指向精度,采用小波变换对电罗经直航向数据进行消噪处理,获得较为平稳的信号;对消噪后的信号经能量频点分析并傅里叶展开;基于改进的四参数估计法,对直航向信号建立自适应迭代预测模型,并与实测数据进行验证对比。结果表明,采用小波分析、傅里叶级数同四参数估计相结合的自适应建模方法适用于电罗经直航向建模,航向预测效果优于传统四参数估计法。In order to reduce the linear course error and enhance the heading accuracy of Electromagnetic Controlled Gyrocompass, based on wavelet to denoising, obtain a much more smooth signal, based the signal, make use of Fourier transform to do the time/frequency switch, analysis the signal with frequence spots' energy, modeling with the Fourier Expansion model based on the improved 4 parameters estimation of sine-wave, modeling a self-adaptive model to predict the course of electromagnetic controlled gyrocompass in a high accuracy. The prediction and the data indicates that combine the self-adaptive 4 parameters estimation with wavelet and fourier expansion model of the course data could have a good description, it is better than formal 4 parameters estimation.
分 类 号:U666.1[交通运输工程—船舶及航道工程]
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