Title :
Chaotic characteristics analyses of underwater acoustic signals
Author_Institution :
Dept. of Underwater Acoust. Eng., Harbin Eng. Univ., China
Abstract :
It is very important to study the dynamic properties of underwater acoustic signals for improving the performance of underwater acoustic systems. This paper studies the chaotic characteristics of noise signals radiated from ships using power spectrum analysis, singular spectrum analysis, Lyapunov exponents and correlation dimension. All studies proved that there exist chaotic characteristic in this type of signal. Experiments showed that the fractal dimensions of different signal sources are different. It would be very useful to be able to classify this type of signal. As a byproduct, a method for estimating Lyapunov exponents based on the idea of system identification is presented in this paper
Keywords :
acoustic correlation; acoustic noise; acoustic signal processing; chaos; fractals; parameter estimation; spectral analysis; underwater sound; Lyapunov exponent estimation; Lyapunov exponents; chaotic characteristics analyses; correlation dimension; dynamic properties; fractal dimensions; noise signals; power spectrum analysis; ships; singular spectrum analysis; system identification; underwater acoustic signals; underwater acoustic systems; Acoustic noise; Acoustical engineering; Chaos; Marine vehicles; Mutual information; Noise reduction; Oceans; Power engineering and energy; Signal analysis; Underwater acoustics;
Conference_Titel :
Signal Processing Proceedings, 1998. ICSP '98. 1998 Fourth International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-4325-5
DOI :
10.1109/ICOSP.1998.770894