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...
Change History
Auto-Focus Detection Capability for SONAR Systems
Q1-Q6 received new answers clarifying: supplemental data use is allowed (A1), Government will provide sensor-level data and beamformer output without thresholding (A2), performance metrics forthcoming (A3), Phase I deliverables are concept/analysis only, not code (A4), both preprocessed and element-level data provided (A5), and ground truth labels included except best focus ranges (A6).
Auto-Focus Detection Capability for SONAR Systems
Q7 received a new answer clarifying that cable, winch, and deployment logistics are out of scope—this SBIR addresses only signal processing algorithms for auto-focus detection in SONAR systems.
Auto-Focus Detection Capability for SONAR Systems
Added 6 new Q&As covering: Government-provided dataset usage (Q1), detection surface data format and documentation (Q2), operator workflow assessment criteria (Q3), Phase I deliverables scope (Q4), data forms for signal processing (Q5), and ground truth/labels inclusion (Q6). Original Q&A on cable/winch responsibility and detection vs. interpretability emphasis renumbered as Q7-Q8.
Auto-Focus Detection Capability for SONAR Systems
Added new Q1 about cable, winch, and deployment logistics (drop/recovery rates for deep deployment). Previous Q1 about detection performance vs. interpretable behavior was renumbered to Q2 with same answer.
Auto-Focus Detection Capability for SONAR Systems
Q1 received answer clarifying that while both detection performance and consistent behavior are important, the primary emphasis is on **operator presentation** — delivering detections in a clear, interpretable manner that prevents operator overload, rather than maximizing raw detection metrics.
Auto-Focus Detection Capability for SONAR Systems
Status changed from Pre-Release to Open
Auto-Focus Detection Capability for SONAR Systems
This content addresses a fundamental evaluation criterion for an acoustic detection system, asking whether priority is placed on peak performance metrics versus robustness and interpretability across varying environmental conditions.
Auto-Focus Detection Capability for SONAR Systems
Close Date changed from 2026-04-22 to 2026-06-03
Auto-Focus Detection Capability for SONAR Systems
Open Date changed from 2026-03-25 to 2026-05-06
Auto-Focus Detection Capability for SONAR Systems
Status changed from Removed to Pre-Release
Auto-Focus Detection Capability for SONAR Systems
Opportunity DON26BZ01-NV020 no longer available
Auto-Focus Detection Capability for SONAR Systems
New opportunity: Auto-Focus Detection Capability for SONAR Systems
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