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Exploitation of Networked Sensor Phenomenology Involving Robust Estimation (ENSPIRE)

Award Information
Agency: Department of Defense
Branch: Missile Defense Agency
Contract: HQ0147-13-C-7611
Agency Tracking Number: B2-1902
Amount: $968,057.00
Phase: Phase II
Program: SBIR
Solicitation Topic Code: MDA11-010
Solicitation Number: 2011.2
Timeline
Solicitation Year: 2011
Award Year: 2013
Award Start Date (Proposal Award Date): 2013-09-20
Award End Date (Contract End Date): 2015-09-22
Small Business Information
20532 El Toro Rd Ste 303
Mission Viejo, CA -
United States
DUNS: 825470987
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Kristi O'Grady
 Principal Investigator
 (949) 716-4290
 kogrady@exoanalytic.com
Business Contact
 Holly Bertrand
Title: Chief Operating Officer
Phone: (949) 716-4290
Email: bertrand@exoanalytic.com
Research Institution
 Stub
Abstract

One of the primary research objectives for multi-sensor data fusion within the Ballistic Missile Defense System (BMDS) is the development of novel techniques to enable robust target discrimination. While great strides have been made in recent years to advance capabilities through the use of features available from Forward Based Radars (i.e. AN/TPY-2) and emerging optical platforms (i.e. PTSS), these algorithms remain coupled to a priori assumptions regarding the lethality characteristics of targets. In a world in which threat characteristics are constantly evolving, it is imperative to develop a target discrimination solution which explicitly separates these internal assumptions the lethal hypothesis from the estimation of physical attributes. In response to this technology need, ExoAnalytic Solutions Inc. proposes ENSPIRE: Exploitation of Networked Sensor Phenomenology Involving Robust Estimation. ENSPIRE's overall objective is to develop robust long range discrimination technology, capable of performing against all current and future ballistic missiles and in any sensor architecture configuration.

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

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