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Signal Processing for Layered Sensing

Award Information
Agency: Department of Defense
Branch: Office for Chemical and Biological Defense
Contract: W911SR-16-C-0007
Agency Tracking Number: C152-006-0119
Amount: $149,999.91
Phase: Phase I
Program: SBIR
Solicitation Topic Code: CBD152-006
Solicitation Number: 2015.2
Solicitation Year: 2015
Award Year: 2016
Award Start Date (Proposal Award Date): 2016-02-16
Award End Date (Contract End Date): 2016-11-17
Small Business Information
6800 Cortona Drive
Goleta, CA 93117
United States
DUNS: 054672662
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Ben Juricek, Ph.D.
 (805) 968-6787
Business Contact
 Ms. Marcella Lindbery
Phone: (805) 968-6787
Research Institution

As a foundational component of a Layered Sensing architecture, Toyon proposes to develop a Multi-Modal Fusion Module (M2FM) capable ofconfirming detections from Chemical, Biological and Radiological (CBR) sensing networks by fusing together information from other (non-CBR)sensors. The module will provide information to assist operators in confirming an initial CBR detection or rejecting it as a false alarm. M2FM willalso aid in characterizing the threat scenario by estimating key parameters for the source: time, location, size and temporal profile of the release.The estimated source term can be an input to existing plume models capable of predicting the extent of the resulting hazard. These results will beprovided as a Decision Aid for guiding tactical response actions.The M2FM will utilize Bayesian-based sensor fusion algorithms, which have been used on similar "evidence accrual"-type problems. The CBRapplication involves several unique features that will require adapting the theory and existing tools (e.g., Bayesian Belief Networks) to emphasizereal-time accrual based on features related to the CBR threat, and to infer the underlying threat properties based on processed sensor outputs.The scope of Phase I effort involves defining, analyzing and demonstrating all aspects of M2FM in more detail.

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

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