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

Volume

4

fYear

2007

fDate

2-4 Nov. 2007

Firstpage

1589

Lastpage

1593

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/ICWAPR.2007.4421705

Filename

4421705