Operator Supervised Organic Fusion for Submarine Combat Systems

Period of Performance: 07/09/2015 - 01/05/2016

$79.8K

Phase 1 SBIR

Recipient Firm

Metron, Inc.
1818 Library Street Suite 600
Reston, VA 20190
Principal Investigator

Abstract

Here we develop an automated organic submarine multi-sensor data fusion capability for that meets Submarine Tactical Group Requirements. Our approach to this employs a hybrid fusion system employing a blend of Hard Association, XMAP, and Soft Association, JPDA, combined with Metron's advanced particle filter based multi-target tracker, NodestarPLUS to provide a fully automated, but operator supervised, fusion process for submarine combat systems. To initiate tracks we use our latest advancement in Intensity Filters, iLRT. Our ITK/TRK framework fully exposes to operator the underlying ?staff-work? being performed by automation in a manner that allows him full supervisory oversight of the process.