Electronic Warfare Framework

An Approach to Accelerate Research and Development

Abstract

The increasing dependence of modern societies and military operations on radio frequency-based and networked systems has made the electromagnetic spectrum a critical operational domain. Electronic warfare capabilities must therefore evolve toward more adaptive and rapidly deployable solutions. This article addresses the challenge of accelerating electronic warfare related research and development by introducing a compact, modular framework that enables efficient testing and validation of signal processing and machine learning-based detection algorithms in real-world conditions. To achieve this, comparison of possible technologies and architecture was made to select the optimal components. The proposed system combines a software-defined radio and an embedded processing unit to create a field-deployable platform for radio frequency signal collection, analysis and countermeasure evaluation. The framework’s functionality was demonstrated through an FPV drone detection use case, where video signals transmitted by a drone were successfully identified and disrupted.