Multi-criteria aggregation for adaptive multifunction Radar Resource Management performances evaluation

Abstract

Multifunction radars (MFR) have to achieve their capability requirements in an increasingly complex environment, populated with diverse and hostile targets (e.g. low RCS, low speed targets in clutter or high speed, ballistic targets) in saturating scenarios (due to e.g. RF interference or threats). These radar systems are increasingly exploiting active electronically scanned array (AESA) technology to dynamically interleaved functions. However, the increasing complexity and adaptive nature of MFR radar makes it very difficult to specify their performance in a way which can both deliver the required capability and which can be verified in a cost-effective manner. Addressing the challenges in this area will benefit via better understood requirements which can be more easily interpreted. After definition of FoM (Figures of Merit) for phased array radar operation and performance, we have computed them on benchmark test scenarios of varying complexity. We describe a new methodology to aggregate these metrics to provide a global notation of MFR radar performances.