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Physics Based Missile Trajectory Discrimination Algorithms

Award Information

Agency:
Department of Defense 		Branch:
Missile Defense Agency 		Award ID:
69531 		Program Year/Program:
2004 / SBIR
Agency Tracking Number:
B041-020-0822 		Solicitation Year:
N/A 		Solicitation Topic Code:
N/A 		Solicitation Number:
N/A
Small Business Information
Cybernet Systems Corporation
727 Airport Boulevard Ann Arbor, MI 48108-1639
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Woman-Owned: Yes
Minority-Owned: No
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 2004
Title: Physics Based Missile Trajectory Discrimination Algorithms
Agency / Branch: DOD / MDA
Contract: HQ0006-04-C-7004
Award Amount: $99,946.00
 

Abstract:

We believe we have an innovative method for discriminating between real incoming missiles and decoys in a cluttered environment. We have developed a method for taking continuous position information and, using a physical model based on Newton's Laws of Motion and advanced mathematics developed in the field of modern control theory, we have developed algorithms and systems for discriminating between different types of physical motions and activities. The system developed was used for recognizing various human hand and body motions - specifically, gesture recognition. Our goal for the Phase I is to demonstrate that the same physics-based algorithms used for discriminating human gestures and behaviors can also be used to track and identify incoming ballistic missiles. While the motions are quite different, the mathematics behind gesture recognition, as shown in Section d, can work in both areas. Therefore, instead of using this gesture recognition for human-computer interaction, we will leverage our work in this area to create a Target Interception using Gesture Recognition (TIGER) system that will identify, track, and predict the course of incoming missiles and associated decoys. The TIGER system will also discriminate between incoming missiles and decoys, in a manner similar to discriminating between similar human-generated gestures.

Principal Investigator:

Charles J. Cohen, Ph.D.
Vice President, R&D
7346682567
ccohen@cybernet.com

Business Contact:

Charles J. Jacobus, Ph.D.
President and CEO
7346682567
proposals@cybernet.com
Small Business Information at Submission:

CYBERNET SYSTEMS CORP.
727 Airport Boulevard Ann Arbor, MI 48108

EIN/Tax ID: 430924383
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No