Mission-Driven Resource Management for Reconfigurable Sensing Systems

Abstract

Importance of this researchAlmost any process that undertakes actions relies on situational awareness. Such awareness can be supported by using sensors. In dynamic situations the observation task can get complicated and sensors may need to be reconfigured in real time. Choosing the right configuration and allocating the available resources, such as time, of the sensors is very challenging. This thesis proposes the concept of mission-driven resource management to automatically and optimally decide on such choices during the various sensor life cycle phases.

Cost function design for the fully adaptive radar framework

“…Rather than focus on minimising the uncertainty in the target tracks, Katsilieris et al [29] propose sensors which choose actions with the aim of reducing uncertainty regarding the targets’ threat levels. In [30], the authors link the adaptable parameters directly to the probability of mission‐success, as defined by the end‐user. Each action is then judged by its impact on the overall mission, rather than specific quality measures.…”