A Cooperative DoA-based Algorithm for Localization of Multiple Primary-Users in Cognitive Radio Networks
Knowledge about the location of licensed Primary Users (PU) could enable several key features in Cognitive Radio (CR) networks including improved spatio-temporal sensing, intelligent location-aware routing, as well as aiding spectrum policy enforcement. In this paper the authors discuss the problem of localizing multiple PUs based on Direction-of-Arrival (DoA) measurements. The key problem in such scenario is the difficulty and complexity of associating multiple DoA measurements to different PUs. They propose an iterative method that uses the probability of associating each DoA to a PU as the weighting coefficient of a modified Stansfield algorithm for DoA fusion.