Signal intelligence system to integrate spectrum prediction with emitter classification and pnt

Abstract

Embodiments of the disclosure provide a signal intelligence system for integrating radio frequency (RF) spectrum prediction with emitter classification and position, navigation, and timing (PNT). Methods of the disclosure include detecting a signal from an emitter operating within a wireless network. Continued processing includes forecasting, via a multi-task learning component of a machine learning module, one of a signal modulation, an emission protocol, and an identification of the emitter based on the detected signal. Additional processing includes calculating a positioning, navigation, and timing (PNT) profile for the emitter using a recurrent graph neural network (ReGNN) component of the machine learning module. Further processing includes predicting, via a recurrent neural network (RNN) of the machine learning module, a spectrum occupancy of the emitter within the wireless network.