Investigation on Genetic Algorithm for Countermeasure Technique Generator

Development of successful electronic countermeasure (ECM) techniques against target track radars is a time-consuming and expensive process. Recently, Nunez et al. reported a genetic algorithm (GA) optimization method for ECM techniques generation; this paper outlines the current effort to implement the approach with an operational radar system and to establish a methodology for arbitrary ECM signal generation in a closed-loop system. While this effort employs GA, the method applies equally to other optimization techniques. After defining the GA fitness function for a generic range gate pull off (RGPO) technique, the ECM signal is implemented with a very fast digital arbitrary waveform generator. The RGPO signal is injected into the radar environment, and the tracking radar response is measured and scored for optimization. The method is suitable for more sophisticated ECM signals and will be studied in future work.