Harbor Threat Detection, Classification, and Identification
NAVAL RESEARCH LAB WASHINGTON DC
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There is a critical need for reliably and rapidly detecting, identifying, and tracking submerged low observable targets in port environments, which would allow for rapid and effective neutralization of low observable threats. Without this capability, personnel, naval platforms and targets of opportunity are exposed to a cheap kill by an opportunistic threat. The long term goal of this effort is to exploit for the first time detailed active and passive signature information of harbor threats together with advanced Bayesian classifier techniques. Ultimately it is the intent of this effort to leverage the highly successful science and technology carried out in broadband mine identification 1 and EOY reports for Award Numbers N0001406WX20052 and N0001406WX20679. The objective is to exploit passive and active acoustic signal information associated with submerged threats in harbors and ports in order to monitor their presence in real time. There is no known capability for reliably detecting, identifying, and tracking low observable targets in such environments, particularly at ranges 1km. Submerged threats include a variety of both man-made and human targets and this project emphasizes swimmer and non-swimmer threats. This project will lead to identification and demonstration through experimentation and simulation.
- Target Direction, Range and Position Finding