Passive Acoustic Detection of Divers Under Strong Interference

Author

Chen, Xiaoling ; Wang, Rensheng ; Tureli, Uf

Author_Institution

Dept. of Electr. & Comput. Eng., Stevens Inst. of Technol., Hoboken, NJ

fYear

2006

fDate

18-21 Sept. 2006

Firstpage

1

Lastpage

6

Abstract

A passive detector for underwater swimmer, i.e. diver, is proposed in this paper. First we extract two features of diver´s signal from the experimental data recorded in tank. Then, a multiband matched filter (MF) technique is presented. Moreover, in order to increase the robustness of the MF detector in strong interference, an interference cancellation technique based on the second diver breathing feature using autoregressive (AR) method is applied. The experimental results verify its performance

Keywords

autoregressive processes; matched filters; underwater sound; AR method; MF detector; MF technique; autoregressive method; diver breathing feature; diver signal; experimental data; interference cancellation technique; multiband matched filter; passive acoustic detection; strong interference divers; underwater swimmer; Acoustic signal detection; Data mining; Delay; Detectors; Feature extraction; Interference cancellation; Matched filters; Noise cancellation; Underwater acoustics; Underwater tracking;

fLanguage

English

Publisher

ieee

Conference_Titel

OCEANS 2006

Conference_Location

Boston, MA

Print_ISBN

1-4244-0114-3

Electronic_ISBN

1-4244-0115-1

Type

conf

DOI

10.1109/OCEANS.2006.306869

Filename

4099024