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Sonar Narrowband Adaptive Proficiency (SNAP)

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N68335-21-C-0703
Agency Tracking Number: N211-065-1349
Amount: $239,999.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: N211-065
Solicitation Number: 21.1
Solicitation Year: 2021
Award Year: 2021
Award Start Date (Proposal Award Date): 2021-08-17
Award End Date (Contract End Date): 2022-10-18
Small Business Information
11350 Random Hills Road Suite 110
Fairfax, VA 22030-1111
United States
DUNS: 784255809
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: Yes
Principal Investigator
 Kristen Pirrella
 (443) 917-4522
Business Contact
 Adam Lucariello
Phone: (703) 592-0762
Research Institution

The Advanced Processor Build (APB) and Advanced Capabilities Build (ACB) processes are critical mechanisms to allow the Navy to pace the threat by continually introducing improved ASW acoustic sensor and signal processing solutions. These new solutions require adequate operator training in order to be effective – training that leverages the latest advances in learning science, such as adaptive training and dynamic feedback tools. More efficient training tools address the Sailor 2025 Ready Relevant Leaning initiative, the CNO’s request for “high velocity learning,” and the recent STRG Advanced Development Prioritized Focus Area letter call for adaptive training solutions that use real-world data. An area in particular need of improved training technology is narrowband signal detection and analysis for sonar operators. Existing trainers tend to be “static,” i.e., every trainee receives the same material at the same pace, with limited connection to real tactical displays, and are difficult to update with new threats and their associated unique narrowband signatures as they are discovered. In-Depth Engineering Corporation proposes the Sonar Narrowband Adaptive Proficiency (SNAP) solution, an adaptive narrowband signal detection and analysis trainer that: (1) uses Item Response Theory combined with AI/ML to adaptively move the trainee through the course material, (2) implements the real tactical displays that are stimulated with real-world acoustic data maintained in an easily-updateable database, and (3) provides both dynamic and post-exercise, process-based, multi-modality feedback, which has been proven to improve learning efficiency and knowledge retention.

* Information listed above is at the time of submission. *

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