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Enhanced Sensor Resource Management Utilizing Bayesian Inference

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N68335-19-C-0383
Agency Tracking Number: N19A-002-0106
Amount: $145,000.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: N19A-T002
Solicitation Number: 19.A
Timeline
Solicitation Year: 2019
Award Year: 2019
Award Start Date (Proposal Award Date): 2019-04-29
Award End Date (Contract End Date): 2019-11-06
Small Business Information
1531 Grand Avenue Suite D
San Marcos, CA 92078
United States
DUNS: 118594928
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Graeme Smith Graeme Smith
 Principal Investigator, The Ohio State University ElectroSciences Laboratory
 (614) 292-1664
 smith.8347@Osu.edu
Business Contact
 C. Thomas Savell
Phone: (760) 591-4227
Email: ctsavell@gcas.net
Research Institution
 The Ohio State University
 Amy B. Dudley Amy B. Dudley
 
1960 Kenny Road
Columbus, OH 43210
United States

 (614) 292-2520
 Nonprofit college or university
Abstract

This proposal describes the use of machine learning, data mining and Bayesian inference algorithms for incorporation into a surveillance aircraft cognitive radar system. The need for incorporation of higher-order uncertainty distributions will also be assessed. This will result in enhanced sensor resource management capability for surveillance aircraft radar.

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

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