基于小波阈值消噪法的船舶操纵性试验数据消噪

Denoising Ship Maneuvering Test Data Based on Wavelet Threshold Denoising Method

基于不同的小波基函数和小波分解层数,应用小波阈值消噪法分别对掺杂有野值的自航模标准20o/20oZ形仿真试验数据进行消噪,通过将经过消噪处理的Z形试验数据和Z形仿真试验数据进行对比,验证了小波阈值消噪法在船舶操纵性试验数据消噪方面的有效性。同时,通过对20o/20oZ形试验数据消噪效果进行比较,表明可以通过增加小波基函数的长度来提高试验数据消噪效果以及不同小波基函数在相同消噪方法下存在一个消噪效果最好的小波分解层数。

Some noises were added into the 20o/20o zigzag test data, and wavelet threshold denoising method was applied to denoise the polluted test data. The denoised test data were compared with the original test data. It is shown that the wavelet threshold denoising method is effective. Denoising effect can be enhanced by increasing the length of wavelet basis function, and there is an optimal wavelet decomposition level for wavelet basis functions.