小波阈值消噪在船舶试验数据预处理中的应用  

Application of wavelet threshold denoising in the ship test data preprocessing

作　　者：薛彩霞[1] 俞孟蕻[1] 丁彦侃 

机构地区：[1]江苏科技大学电子信息学院,江苏镇江212003

出　　处：《电子设计工程》2016年第8期47-49,共3页Electronic Design Engineering

基　　金：江苏省产学研联合创新资金项目(BY2013066-08)

摘　　要：随着船舶和深海技术的迅速发展,对船舶数学模型也提出了更高的要求,为消除由船舶系统本身实验环境的复杂性、传感器和数据采集系统的非理想性等众多因素对船舶实测数据的影响,获取准确的初始数据用于建模,介绍了小波阈值消噪法用于数据预处理,并且以艏向实测数据为例介绍了运用db小波进行消噪的过程。通过仿真,将处理后的数据与试验数据对比,结果表明处理过的数据更加平滑和精确,为后续的船舶精确建模任务提供了可靠的实验数据。With the rapid development of ships and marine technology, higher requirement for vessel model is proposed, in order to eliminate a lot of factors affected the measured data of the ship, such as the complexity of the vessel system itself experimental environment, the imperfection of the sensor and the data acquisition system, and to obtain the accurate initial data for modeling, in this paper, the wavelet threshold denoising for the data preprocessing is briefly introduced. Meanwhile,the bow measured data is analyzed as an example of realizing denoise by means of the db-wavelet. Through the simulation, the processed data is compared with the test one. It is concluded that the processed data is smoother and more precise, and this kind of method provides reliable experimental data for subsequent ship accurate modeling task.

关 键 词：船舶数学模型 小波阈值消噪 数据预处理 db小波 

分 类 号：TN919.5[电子电信—通信与信息系统]