Bandwidth sharing and scheduling for multimodal radar with communications and tracking

A multimodal radar varies its bandwidth (and hence resolution) based on the arrangement of target scattering features, possibly leaving unused bandwidth for other applications. In this paper, we explore bandwidth sharing scenarios between radar and communications. We divide the surveillance space into sectors and use fuzzy logic to arrive at priorities for each sector. Multi-objective optimization is used to arrive at solutions making the best use of available bandwidth between radar and communications. We also consider the problem of scheduling between tracking and surveillance for the multimodal radar. Smart scheduling is necessary to make the best use of available radar resources. We look at algorithms for special target scenarios. Tracking is performed using the particle filter algorithm.