Broadband signal processing for detection, classification, and identification of underwater, bottomed, and buried targets in ambient noise environments

Gee-In Goo

doi:10.1117/12.664941

18 May 2006 Broadband signal processing for detection, classification, and identification of underwater, bottomed, and buried targets in ambient noise environments

Gee-In Goo

Author Affiliations +

Proceedings Volume 6217, Detection and Remediation Technologies for Mines and Minelike Targets XI; 62171H (2006) https://doi.org/10.1117/12.664941
Event: Defense and Security Symposium, 2006, Orlando (Kissimmee), Florida, United States

Abstract

This paper addresses the theories, experiments and real data of passive detection, classification and identification of "silent" targets in the illumination of ambient noise, a method known as "Acoustic Daylight." A great deal of work and sonar systems exist on active and passive sonar systems, but the principle of using ambient noise as the sole source of acoustic illumination was explored with limited success. This paper presents some of the successes using broadband signal processing and theory of target resonance as proposed in Uricks' text. In addition, the paper will present some of the results from experiments and simulations and Navy data of opportunities.

Citation Download Citation

Gee-In Goo "Broadband signal processing for detection, classification, and identification of underwater, bottomed, and buried targets in ambient noise environments", Proc. SPIE 6217, Detection and Remediation Technologies for Mines and Minelike Targets XI, 62171H (18 May 2006); https://doi.org/10.1117/12.664941

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