Paper
30 April 2007 Measuring kill chain performance in complex environments
Scott James, Andrew Coutts, Colin Stanford, Fred Bowden, Dean Bowley
Author Affiliations +
Abstract
Offensive Support (OS) modelling has generally not been implemented within a closed simulation in such a way that its contribution to the overall mission performance can be captured, measured and integrated. However, the issue of realistically measuring OS performance becomes more critical as new technologies are proposed to improve or compress the Kill Chain, particularly in the context of complex environments. A study is being conducted to determine and implement an explicit Kill Chain in CASTFOREM such that it can be configured to use a variety of components and its impact on performance can be measured and compared. To assess the Kill Chain, six measures have been adopted from the original research done by the Royal Australian Air Force and Air Operations Division, DSTO. These are Timeliness, Appropriateness, Precision, Discrimination, Orchestration and Survivability, referred to as TAPDOS. These performance measures will allow the study to align with accepted standards of OS usage in the Australian joint fires environment, and to facilitate the use of Subject Matter Experts to support the study and promulgate performance results. The outcome of the study will be a closed simulation capable of identifying and reporting specific Kill Chain events and measures associated with the target performance demands, system performance availability, system selection and performance delivered.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Scott James, Andrew Coutts, Colin Stanford, Fred Bowden, and Dean Bowley "Measuring kill chain performance in complex environments", Proc. SPIE 6578, Defense Transformation and Net-Centric Systems 2007, 657809 (30 April 2007); https://doi.org/10.1117/12.723982
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Cited by 1 scholarly publication.
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KEYWORDS
Environmental sensing

Performance modeling

Modeling

Systems modeling

Target acquisition

Target detection

Unmanned aerial vehicles

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