Validation of Automatic Ground Moving Target Indicator Exploitation Algorithms

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA8750-13-C-0226
Agency Tracking Number: F131-038-0816
Amount: $149,989.00
Phase: Phase I
Program: SBIR
Awards Year: 2013
Solitcitation Year: 2013
Solitcitation Topic Code: AF131-038
Solitcitation Number: 2013.1
Small Business Information
Black River Systems Company, Inc.
162 Genesee Street, Utica, NY, -
Duns: 111305843
Hubzone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Dale Klamer
 Principal Investigator
 (315) 732-7385
 klamer@brsc.com
Business Contact
 Milissa Benincasa
Title: Vice President
Phone: (315) 732-7385
Email: benincasa@brsc.com
Research Institution
N/A
Abstract
ABSTRACT: Today"s analysts have an exceptional amount of GMTI intelligence readily available to them for servicing Requests for Information (RFI) because of the growing plethora of GMTI collection systems and multiple forensic data archives; however, only a small fraction of this GMTI is exploited because analysts lack trust in automated GMTI exploitation algorithms that are capable of grander analysis. Analysts need confidence in the automated tools in order to adopt them into their workflow; thus we must sufficiently validate these GMTI exploitation algorithms. Black River will develop a GMTI Algorithm Validation System (GAVS) that ensures high quality, high confidence data products are produced by the exploitation tools delivered to the analysts. The GAVS will use a Design of Experiments process to provide statistically significant validation within reasonable cost constraints and accommodate the evaluation of a diverse set of exploitation algorithms goals, to include target tracking, milling activity detection and other Activity Based Intelligence analysis. Additionally, Black River will promote algorithm acceptance by utilizing analysts"own RFI responses as ground truth in the algorithm validation process to overcome simulated data shortcomings and we will identify problem characteristics where the GMTI exploitation algorithm performs well through the use of a Relevance Vector Machine. BENEFIT: Black River"s proposed revolutionary approach to GMTI exploitation algorithm validation that employs real-world data in algorithm testing and evaluation, at a statistically significant level, will considerably increase analysts"confidence in using automated tools while cutting overall evaluation costs. Additionally, the GMTI Algorithm Validation System will indicate operating conditions under which an algorithm performs well and poorly, which promotes analyst understanding, usage, and trust of automated algorithms and directs developers to areas for algorithmic improvement.

* information listed above is at the time of submission.

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