SBIR/STTR Research Award
Pattern Recognition on Bayesian Estimates (PROBE)
Award amount
$1,498,599Program and phase
SBIR · Phase IIAward year
2023Award details
- Awarding agency
- Department of Defense
- Branch
- Navy
- Recipient company
- SIGNAL SYSTEMS CORPORATION
- Proposal award date
- 2023-02-01
- Contract end date
- 2025-02-12
- UEI
- MJG4M7R9YCV1
- Solicitation number
- 17.1
- Topic code
- N171-005
Research abstract
Pattern Recognition on Bayesian Estimates (PROBE) is a set of software enhancements for the Multi-static Active Coherent System (MAC), which improve clutter screening and reduce operator workload by using state-of-the-art machine learning algorithms to improve performance of the Likelihood Ratio Tracker (LRT). PROBE will improve MAC operations by providing superior snippet scores, earlier contact follower creation, and enabling a fully automated search capability. The key innovation is maximizing the utilization of available data through machine learning and using convolutional deep neural networks to interpret four-dimensional data. This superior target discrimination performance enables highly automated wide area search.
Technology keywords
Not reported
Other awards by this recipient
Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.
- Autonomous Environmental Sensor Performance Prediction Tool for Multi-Static Active and Passive Anti-Submarine Warfare (ASW) Systems
- Passive Acoustics Sonobuoys Intelligence and Machine Learning
- Realistic Augmentation for Mid-Frequency Sonar (RAMS)
- Dual Intensity Filter for Reciprocal Awareness of Clutter & Targets (DIFFRACT)
- Signal Processing for Underwater Explosion Detection and Localization - Acoustic Confirmation of Underwater Mine Explosion/Neutralization (ACUMEN)
Awards with the same topic code
Verified by an exact topic code match. This is not a text-similarity match.
- Deep Learning for Clutter Reduction in Multi-static Coherent Active Sonar Systems
- Deep-Sonar: Spatial-Temporal Deep Learning for Sonar Systems
- Deep Learning for Clutter Reduction in Multi-static Coherent Active Sonar Systems
- Learned Approach to Sonar Signal Interpretation and Evaluation (LASSIE)
- Visionary Detection and Clutter Reduction
Research funding history
67 SBIR/STTR records share this UEI (1999–2025). Reported award amounts total $34,392,804. Reported amounts are not federal obligations.
Phases: Phase I, Phase II
Agencies: Department of Defense, Department of Homeland Security