Title :
Ship noise spectrum analysis based on HHT
Author :
Zhimeng, Zhang ; Chenchen, Liu ; Bosheng, Liu
Author_Institution :
Dept. of Electr. & Electron. Eng., Shijiazhuang Tiedao Univ., Shijiazhuang, China
Abstract :
Ship noise spectrum analysis by HHT is a new method and essential for underwater target recognition. In the process, the end swings and overshoots/undershoots exist during empirical mode decomposition. Analyzing the feature of the cubic spline interpolation and cubic Hermite polynomial interpolation, a new method was proposed which made use of cubic Hermite polynomial interpolation for envelopes fitting, and the ARMA process combined with period extraction for ending extension to improve the fitting result. Then, a non-stationary time series and two adjacent-frequency signals separation were used to test its efficiency. Finally, in ship noise analysis, we obtained the foundamental frequency and its frequency doubling components satisfactorily.
Keywords :
Hilbert transforms; autoregressive moving average processes; curve fitting; interpolation; object recognition; singular value decomposition; source separation; splines (mathematics); time series; ARMA process; HHT; adjacent frequency signals separation; cubic Hermite polynomial interpolation; cubic spline interpolation; empirical mode decomposition; end swings; envelopes fitting; non stationary time series; overshoot; ship noise spectrum analysis; undershoot; underwater target recognition; Fitting; Interpolation; Marine vehicles; Mirrors; Noise; Spectral analysis; Spline; empirical mode decomposition; envelope fitting; interpolation function; intrinsic mode functions;
Conference_Titel :
Signal Processing (ICSP), 2010 IEEE 10th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-5897-4
DOI :
10.1109/ICOSP.2010.5655198