KEYWORDS: Weapons, Sensors, Data modeling, Mirrors, Laser countermeasures, Analytical research, Prototyping, Modeling, Monte Carlo methods, Navigation systems
Guided weapons, are a potent threat to both air and surface platforms; to protect the platform, Countermeasures are often used to disrupt the operation of the tracking system. Development of effective techniques to defeat the guidance sensors is a complex activity. The countermeasure often responds to the behaviour of a responsive sensor system, creating a "closed loop" interaction. Performance assessment is difficult, and determining that enough knowledge exists to make a case that a platform is adequately protected is challenging.
A set of metrics known as Countermeasure Confidence Levels (CCL) is described. These set out a measure of confidence in prediction of Countermeasure performance. The CCL scale provides, for the first time, a method to determine whether enough evidence exists to support development activity and introduction to operational service.
Application of the CCL scale to development of a hypothetical countermeasure is described. This tracks how the countermeasure is matured from initial concept to in-service application. The purpose of each stage is described, together with a description of what work is likely to be needed. This will involve timely use of analysis, simulation, laboratory work and field testing.
The use of the CCL scale at key decision points is described. These include procurement decision points, and entry-to-service decisions. Each stage requires collection of evidence of effectiveness. Completeness of the available evidence can be assessed, and duplication can be avoided. Read-across between concepts, weapon systems and platforms can be addressed and the impact of technology insertion can be assessed.
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