摘要

By adding some random noise into the simulated 20°/20° zigzag test data, the polluted test data are obtained. Wavelet denoising is then applied to denoise the polluted data. By analyzing the denoised data and the polluted data, Least Square-Support Vector Regression (LS-SVR) is applied to identify the manoeuvring indices of the second-order linear response model. The prediction results of 20°/20° zigzag test by using the denoised test data and the polluted test data are compared with the simulated test data to demonstrate the validity of wavelet denoising in the denoising of the polluted test data.

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