15 Feb 06. Overwatch Systems, gave BATTLESPACE Editor, Julian Nettlefold a brief on its participation in the Future Combat Systems Situation Understanding
“Overwatch is the only small company to prime a systems requirement for FCS,” Doug Redman told the Editor, “The other is I-Robot. Our contract is worth $110m over 4-5 years. We are part of the Lockheed Martin Team priming the Level 1 Requirement.”
“The network will be the next evolution in warfare,” he continued, “Overwatch is using its expertise in Intelligence Analysis Tools to develop the systems for Boeing.
The Requirement is split into three segments:
1. Level 1 – Tracks and identifies targets through a network of 92 sensors
2. Level 2 – Aggregates the threats and computes the number of threat targets
3. Level 3 – Identifies the potential of the threats.
4. Level 4 – Identifies where different sensors could be employed.
The threat or Red Force Track will then be assimilated into the FBCB2 System for Battalion Commanders to create battle plans to defeat these threats.
“Situation Understanding is the ability to see what is happening in your
AOR,” Redman continued, “The ability to see what the enemy intends. The ability to put your forces in the right place at the right time with the right response. Knowledge is a force multiplier and we know that getting the right information to the right person at the right time is Situation Understanding. The software developed by TacOps will identify threats, aggregate battlefield objects, suggest sensor planning improvements and monitor the FCS force’s readiness to react to potential enemy threats. Relevant information is readily available in the form of a Common Operational Picture (COP). This COP will lead to faster, better synchronized battle plans and execution.”
Overwatch Systems Tactical Operations has designed an open architecture approach to meet our customer’s demanding fusion requirements. Considerable effort has been expended in event analysis using real-world data fighting traditional and asymmetric threats. This work is oriented toward detecting patterns in the data including events that predict enemy actions allowing the warfighter to understand the situation and act first to influence the battle outcome.