Real-time Calibration of Embedded Simulation for Faster than Real-time Course Of Action Analysis (COAA)

Period of Performance: 02/28/2008 - 02/28/2010

$730K

Phase 2 SBIR

Recipient Firm

GS Engineering, Inc.
47500 US Hwy 41 Array
Houghton, MI 49931
Principal Investigator

Abstract

The U.S. Army is looking for technologies that better support mission planning and re-planning for forces on-the-move. Existing tools and those under development, such as the Coalition Joint Spectrum Management Planning Tool (CJSMPT), are required to provide on-the-move automated interference and de-confliction analysis in support of mission-related network operations planning amidst the uncertainties presented by forces-on-the move. These tools must also provide processes that off-load portions of the operator s cognitive workload. The CARET (COA Analysis with Real-time Effects Toolbox) Framework prototype addresses these needs by making use of distributed agents to extract and inject real-time data into embedded simulations for use in evaluating COAs amidst real-time C4ISR effects. This framework provides the capabilities needed by the CJSMPT to consider prediction and uncertainty presented by forces on the move through COA Analysis simulations, corresponding agent-driven faster-than-real-time network analysis, real-time C4I calibrated data updates for consistently evaluating the mission and network state, and reflective cognitive agents to assist network operations planning and re-planning activities in real-time by off-loading portions of the cognitive workload. The Phase I effort has demonstrated several of these basic agents that take into account COA simulation (OneSAF), emitter databases, intelligent agents, and network models (ITM) as a proof-of-concept.