Uncertainties and Interdisciplinary Transfers Through the End-to-End System (UNITES): Capturing Uncertainty in the Common Tactical Environmental Picture

LONG-TERM GOALS. UNITES is a unique, interdisciplinary team with expertise spanning the environment (physical oceanography and bottom geology), ocean acoustics (propagation, ambient noise, reverberation and signal processing), and tactical sonar systems. The overall goals of the research are to enha...

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Bibliographic Details
Main Author: Abbot, Philip A
Format: Report
Language:English
Subjects:
Acoustic Detection and Detectors
AMBIENT NOISE
ENVIRONMENTS
FORWARD AREAS
GEOLOGY
GUIDANCE
NAVY
OCEAN BOTTOM
OCEAN ENVIRONMENTS
OCEANS
PERFORMANCE(ENGINEERING)
Physical and Dynamic Oceanography
PREDICTIONS
PROCESSING
PROPAGATION
REVERBERATION
SCALE
SONAR
SPATIAL DISTRIBUTION
TACTICAL RECONNAISSANCE
TEAMS(PERSONNEL)
TRANSFER
UNCERTAINTY
UNDERWATER ACOUSTICS
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Summary:LONG-TERM GOALS. UNITES is a unique, interdisciplinary team with expertise spanning the environment (physical oceanography and bottom geology), ocean acoustics (propagation, ambient noise, reverberation and signal processing), and tactical sonar systems. The overall goals of the research are to enhance the understanding of the uncertainty in the ocean environment (including the sea bottom), characterize its impact on sonar system performance, and provide the Navy with guidance in understanding sonar system performance uncertainty in the littoral. OBJECTIVES. Specific objectives of the team effort are to: 1) Develop generic methods to efficiently and simply characterize, parameterize, and prioritize sonar system variabilities and uncertainties arising from regional scales (spatial and temporal) and processes. 2) Construct, calibrate and evaluate uncertainty and variability models, for the sonar systems and their components, addressing forward and backward transfer of uncertainties. 3) Transfer uncertainties from the acoustic environment to the sonar and its associated signal processing, in order to effectively characterize and understand sonar performance and predictions.