Paper
7 May 2010 Collaborative air/ground command and control for responsive persistent ISR operations using unmanned systems
Rick Ordower, Lee Dixon, Nick Lynch
Author Affiliations +
Abstract
"The foundation for integrating ISR planning and direction is the information network, including the appropriate ISR services and applications oriented toward the [commanders] needs. By combining global visibility of available information and intelligence needs with the tools to maximize platform/sensor/target management, the network will improve efficiency and maximize persistence. Inherent within this concept is the idea of integrating and synchronizing a mix of sensing systems and platforms rather than relying on a single system. The second concept embedded within this concept is the ability to capture the activity/information as it occurs rather than forensically reconstructing after the fact. This requires the ability for the [commander] to adjust collection priorities of the entire collection suite to a level appropriate to the activity of interest. Individual sensors, platforms and exploitation nodes will become more efficient as part of an integrated system. Implementing this fully integrated ISR Enterprise will result in improved persistence, and ultimately better ISR for the warfighter."[3] Over the last 6 years, SAIC has been working with CERDEC and AMRDEC to introduce Battle Command aids supporting (semi) autonomous execution and collaboration of unmanned assets. This paper presents an operational context and a distributed command and control architecture aiming to reduce workload and increase Persistent ISR effectiveness. This architecture has been implemented and demonstrated in field tests and as part of FY'09 C4ISR OTM testbed.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Rick Ordower, Lee Dixon, and Nick Lynch "Collaborative air/ground command and control for responsive persistent ISR operations using unmanned systems", Proc. SPIE 7694, Ground/Air Multi-Sensor Interoperability, Integration, and Networking for Persistent ISR, 76940S (7 May 2010); https://doi.org/10.1117/12.850543
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CITATIONS
Cited by 1 scholarly publication.
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KEYWORDS
Intelligence systems

Sensors

Unmanned aerial vehicles

Visibility

Control systems

Surveillance

Network architectures

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