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Electro Optic Avionic Advanced Guidance, Navigation and Control (GNC) Algorithm Development to Enhance the Lethality of Interceptors Against Maneuveri

Award Information
Agency: Department of Defense
Branch: Missile Defense Agency
Contract: W9113M-10-C-0054
Agency Tracking Number: B08B-003-0043
Amount: $1,399,740.00
Phase: Phase II
Program: STTR
Solicitation Topic Code: MDA08-T003
Solicitation Number: 2008.B
Solicitation Year: 2008
Award Year: 2010
Award Start Date (Proposal Award Date): 2010-06-29
Award End Date (Contract End Date): 2012-05-26
Small Business Information
200 Westside Square Suite 320
Huntsville, AL 35801
United States
DUNS: 129074840
HUBZone Owned: No
Woman Owned: Yes
Socially and Economically Disadvantaged: No
Principal Investigator
 Art Lompado
 Senior Physicist
 (256) 562-0087
Business Contact
 Michele Banish
Title: Chief Operations Officer
Phone: (256) 562-0087
Research Institution
 Georgia Institute of Technoloration
 Allen Tannenbaum
777 Atlantic Drive
Atlanta, GA 30332
United States

 (404) 894-0290
 Nonprofit College or University

This Phase II effort will further develop a technique to improve current seeker discrimination and tracking capabilities using a unique particle filter algorithm (PFA) approach. The advancement represents a significant upgrade to current and future seekers facing advanced threats in stressing environments. Quantifiable improvements over many facets of the current approach have been realized during the Phase I effort, including real time operation, operation in cluttered fields, the ability to track multiple targets, and maintaining track on targets which disappear and then re-appear (e.g., go out of frame and then come back into frame), all at low signal to noise ratios. The assumptions of linear dynamics and Gaussian noise as used in traditional Kalman filtering are no longer necessary with the PFA, allowing it to address a much broader range of tracking scenarios including agile and non-ballistic threats. The result of the proposed effort will be a set of optimized algorithms that have been tested and validated in MDA relevant scenarios ranging from simulations to field and flight tests.

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

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