Title :
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
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;
Conference_Titel :
OCEANS 2006
Conference_Location :
Boston, MA
Print_ISBN :
1-4244-0114-3
Electronic_ISBN :
1-4244-0115-1
DOI :
10.1109/OCEANS.2006.306869
