Optimizing Probability of Intercept Using XCS Algorithm

摘要

In battle scenarios, the amount of RF signals/energy intercepted by a sensor like Radar Warning Receiver is characterized by a metric called Probability of Intercept. Due to increase in density and complexity of radars, achieving optimal POI within given cost-constraints is challenging. The basic problem arises since radars scan in spatial (and hence time domain), whereas RWR scan in frequency domain. Synchronizing RWR's reception frequency with same of Radar and, at the time when radar is illuminating Aircraft will require more than analytical techniques. Situation becomes more complicated with multiple radars and radars with Low Probability Intercept (LPI) signatures. In this paper, we explore how to exploit eXtended Classifier System (or XCS) to tackle this problem.