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Proceedings Paper

Broadband sensor system and technique for detection and classification of targets and subsurface targets
Author(s): Gee-In Goo
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Paper Abstract

In this paper, the author discusses a Broadband Bionic Sonar Sensor System and a signal processing technique for detection and identification of underwater targets. This bionic sonar system with the resonance detection technique for detection and identification of underwater objects appears to mimic a dolphin's sensory system. The dolphin's sonar system transmits a very short broadband pulse. It detects and classifies a target by processing the modulation of the echo's (back scattering) broadband spectrum. This spectral modulation is directly related to the target's natural resonance. Using the G-Transform technique, the author has successfully showed that target resonance exists and it is unique to target size, shape, structure and material composition. Furthermore, this natural resonance exists in both (active sonar) acoustic echoes, back scattering and (passive sonar) acoustic scattering in acoustic noise background. Using trained neural networks, these targets' resonances/signatures can be correctly identified for the respective targets. It is conceivable that a broadband radar system, similar to a dolphin's sonar system, can be developed for targets and subsurface targets.

Paper Details

Date Published: 15 October 1999
PDF: 11 pages
Proc. SPIE 3752, Subsurface Sensors and Applications, (15 October 1999); doi: 10.1117/12.365704
Show Author Affiliations
Gee-In Goo, Morgan State Univ. (United States)

Published in SPIE Proceedings Vol. 3752:
Subsurface Sensors and Applications
Cam Nguyen, Editor(s)

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