Research of ship-radiated signal denoising based on the DT CWT statistical wavelet model

Author

Tieshuang, Hou ; Jinglin, Xiang ; Peng, Han ; Jie, Shi

Author_Institution

Coll. of Marine, Northwestern Polytech. Univ., Xi´´an

fYear

2008

Firstpage

2851

Lastpage

2854

Abstract

The recovery of the signal buried in ambient noise is of important significance for targetpsilas signal detection, recognition and classification at low signal-to-noise-ratio. Based on DT-CWT statistical wavelet model, an algorithm for ship-radiated noise signal denoising and signal waveform estimation is proposed to decrease the effect of the ambient noise to signal detection ability. Through the analysis of ship-radiated noise and of ambient noise, the interscale relationship of wavelet coefficients is induced according to signal power density function, and then the signal denoising model is proposed. The analysis of the data taken from practical measurements confirmed the effectiveness of the proposed algorithm.

Keywords

signal denoising; sonar detection; statistical analysis; wavelet transforms; DT CWT statistical wavelet model; ship-radiated signal denoising; signal classification; signal detection; signal power density function; signal recognition; Algorithm design and analysis; Continuous wavelet transforms; Data analysis; Density functional theory; Signal analysis; Signal denoising; Signal detection; Signal to noise ratio; Target recognition; Wavelet coefficients; DT CWT(Dual-tree Complex Wavelet Transform); Denoising; Underwater Acoustical Signal Processing;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing, 2008. ICSP 2008. 9th International Conference on

Conference_Location

Beijing

Print_ISBN

978-1-4244-2178-7

Electronic_ISBN

978-1-4244-2179-4

Type

conf

DOI

10.1109/ICOSP.2008.4697741

Filename

4697741