Title :
A Novel Approach to Detect Ship-Radiated Signal Based on HMT
Author :
Zhou, Yue ; Niu, Zhibin ; Wang, Chenhao
Author_Institution :
Dept. of Autom., Shanghai Jiaotong Univ., Shanghai, China
Abstract :
In the presence of non-gaussian noise, we propose a method for the detection of underwater ship-radiated signal. The wavelet decomposition of the underwater signal yields a natural tree structure, which is further modeled by the Hidden Markov Tree (HMT). Therefore, the signal is represented as the parameter of the correspondent HMT. We analysis the likelihood defined on the parameters and form the new detection criteria. Experimental results demonstrate a reliable and robust solution of our method.
Keywords :
hidden Markov models; signal detection; trees (mathematics); underwater sound; wavelet transforms; hidden Markov tree; natural tree structure; non Gaussian noise; underwater ship radiated signal; wavelet decomposition; Hidden Markov models; Marine vehicles; Noise; Oceans; Underwater acoustics; Wavelet coefficients;
Conference_Titel :
Pattern Recognition (ICPR), 2010 20th International Conference on
Conference_Location :
Istanbul
Print_ISBN :
978-1-4244-7542-1
DOI :
10.1109/ICPR.2010.1109
