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Context-Based Predictive Track Type Prediction Algorithms

Award Information

Agency:
Department of Defense
Branch:
Air Force
Award ID:
78880
Program Year/Program:
2006 / SBIR
Agency Tracking Number:
F061-051-3521
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
Management Sciences, Inc.
6022 Constitution Ave., NE Albuquerque, NM 87110-
View profile »
Woman-Owned: Yes
Minority-Owned: No
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 2006
Title: Context-Based Predictive Track Type Prediction Algorithms
Agency / Branch: DOD / USAF
Contract: FA8650-06-M-4409
Award Amount: $99,998.00
 

Abstract:

MSI proposes a new approach to develop an algorithm that uses context frames and Bayesian inference to anticipate and predict track types of emerging, potential dynamic targets. Adaptive Identification (AID) will use probabilistic approximation to filter and process information that is arriving from multiple sensors and integrate sensor information according to situation specific track models. The models will generate accurate Positive Identification (PID) assessments based on the information they receive. Using context frame interpretations for PID has the potential to eliminate or greatly reduce delays in the Air Operations Center (AOC) associated with the current PID process because it will parallelize the way PID determines the intent and target type of an emerging target allowing more time for identifying and prosecuting time sensitive targets. In use, the algorithm we describe will simultaneously gather intelligence on the track report of a potential target, analyzing the intelligence from the multiple sensors, and determine if the target is a valid target. Probabilistic approximation methods operate in linear time and will potentially reduce PID to a handful of minutes. This will make more time available for planning and more strike options, resulting in more Time Sensitive Target opportunities taken.

Principal Investigator:

Peter A. Blemel
Software Programs Manager
5052558611
peter_blemel@mgtsciences.com

Business Contact:

Marlene K. Blemel
President
5052558611
kay_blemel@mgtsciences.com
Small Business Information at Submission:

MANAGEMENT SCIENCES, INC.
6022 Constitution Avenue NE Albuquerque, NM 87110

EIN/Tax ID: 850247732
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No