Machine Learning Based Monopulse Direction Finder

An integral part of electronic intelligence, whose primary task is to derive intelligence from the detection and interception of electromagnetic emissions, is direction finding and localization of electromagnetic objects. The presented research focuses on the application of machine learning algorithms to the localization of electromagnetic objects. The main contribution of the paper is represented by the implementation of machine learning algorithms for the monopulse method for bearing estimation.