Abstract
This paper deals with a new method for feature extraction and target detection of ship hydrodynamic pressure signal from wind wave background. The signal is decomposed using the wavelet transform in a set of constitutive series. Then the future values of a special constitutive series are forecast using a support vector machine model. The prediction errors are employed to detect the target signal. By means of this method, it is possible to recognize whether target signal is involved or not in received signals. The effectiveness of the method is verified by a real target signal with additive simulated noise signal, especially under the condition of low SNR.
Work partially supported by grant from the National Natural Science Foundation of P.R. China (61074191).
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© 2011 Springer-Verlag Berlin Heidelberg
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Jiang, L., Hu, W., Tian, H. (2011). A Method of Detecting Ship Hydrodynamic Pressure Signal Based on Wavelet Transform and Support Vector Machine. In: Wu, Y. (eds) Advances in Computer, Communication, Control and Automation. Lecture Notes in Electrical Engineering, vol 121. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25541-0_68
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DOI: https://doi.org/10.1007/978-3-642-25541-0_68
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-25540-3
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