Auto-Focus Detection Capability for SONAR Systems
AI Overview
This SBIR seeks an auto-focus signal processing capability for sonar hydrophone arrays that automatically optimizes detection parameters—like focus range and frequency band—to identify maritime contacts with minimal operator workload. The innovation combines multiple processed data volumes to present operators with a single, high-confidence display containing the best signal representation across all detection scenarios.
This summary is AI-generated from the official solicitation.
Key Details
Official Description
Arrays of hydrophones are used to detect, classify, and localize contacts in the ocean environment. Finding a contact, especially a quiet contact, is extremely challenging due to the large volume of data that needs to be searched as well as the large number of other noise sources (e.g., shipping, fishing, whales, etc.) that generate clutter on the displays. Array signal processing, also known as beamforming, steers many beams to spatially filter the noise environment and generate a 3-D data vol...
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