Thunderbolt Aegis Track Manager/Track Server Monitoring Software

History: The Command and Decision (CND) element of the AEGIS Weapon System (AWS) consists of multiple track management applications working in conjunction to create and maintain source and system level track data for use by the overall AEGIS Combat System (ACS). Track management is the process of utilizing all available sources of track data and supporting information, including on and off-board sensors and external communications systems, to create and maintain an accurate and consistent track picture, providing reliable Command and Control (C2) capabilities to the war fighter. Track management includes the processes of managing track numbers across disjointed track databases, maintaining track attributes such as, but not limited to, kinematic state, identification, classification, and Identification Friend or Foe (IFF) modes and codes, as well as providing for track data availability throughout the combat system. These applications include, but are not limited to, Product Line Architecture (PLA) System Track Manager/Track Server (STM/TS), System Track Processor (STP), Link Interface Function (LIF), SPY Processing Function (SPF), and Cooperative Engagement Function (CEF). Combat system baseline configuration dictates which source managers are contained within a specific version of the AWS. While System Track Manager (STM) implements a Track Server (TS) to store all Source and System level track data, each of the other source managers utilize local, internal track stores, maintained in parallel to a TS, while receiving and processing Source and System level track data. At times, these internal track stores can become out of synchronization with a TS, leading to the potential for a degraded state of track management functionality, and overall situational awareness.The Navy seeks an innovative software application that will perform real-time monitoring of all track databases within CND elements and automatically make corrections as necessary to keep them all in synchronization with the TS. This capability is not currently found anywhere else commercially and will provide for reduced hands-on maintenance of the systems, improved decision making with less research of items, and provide smoother operation of the system.ÝThunderboltís solution is to develop an automated software capability ensuring mismatches between internal track management components of the AEGIS Weapon System are identified and corrected in real-time environment.ÝThunderbolt will be taking an approach to characterize the data inconsistencies to gain an understanding of the how and why, to establish the appropriate architecture for the monitoring tool.Ý This will be accomplished via modelling, simulation, and analysis.Ý During the option period, our team will apply Machine learning techniques in a synthetic environment to validate the ability to go to a full scall prototype in Phase 2.ÝÝ