Title :
Underwater transient detection based on dual-tree complex wavelet and stochastic resonance
Author :
Dong, Hua-yu ; Zhang, Xiao-bing ; Xuan, Zaho-lin
Author_Institution :
Naval Univ. of Eng., Wuhan
Abstract :
Based on Hilbert transform pairs of wavelet bases and stochastic resonance, a novel algorithm to detect underwater multipath acoustic transient signal is presented. Dual-tree complex wavelet transform with Hilbert transform pairs of wavelet bases is proposed to use as a solution to translation variance of DWT. Stochastic resonance is used to enhance the signal-to-noise ratio. The performance of the proposed algorithm is analyzed and four kinds of detectors are compared. It shows that dual-tree complex wavelet transform and stochastic resonance based detector has good performance far more than that of energy detector and than that of DWT, especially at low signal-to-noise ratio state.
Keywords :
Hilbert transforms; acoustic resonance; acoustic signal detection; trees (mathematics); underwater sound; wavelet transforms; Hilbert transform; dual-tree complex wavelet transform; signal detection; signal-to-noise ratio; stochastic resonance; underwater multipath acoustic transient signal; underwater transient detection; Acoustic signal detection; Acoustic waves; Detectors; Discrete wavelet transforms; Performance analysis; Signal to noise ratio; Stochastic resonance; Underwater acoustics; Underwater tracking; Wavelet transforms; detection; dual-tree complex wavelet; stochastic resonance; underwater transient;
Conference_Titel :
Wavelet Analysis and Pattern Recognition, 2007. ICWAPR '07. International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-1065-1
Electronic_ISBN :
978-1-4244-1066-8
DOI :
10.1109/ICWAPR.2007.4421705
