Electromagnetic Situation Awareness Based on Improved STFrFT

How to effectively perceive the distribution of electromagnetic radar radiation sources on the battlefield is of great practical significance for radar jamming systems. To this end, a radar emitter signal type classification technology based on improved Short-term Fractional Fourier Transform is studied. Firstly, establish a multifunctional radar complex modulation signal model. Time frequency structural model. Secondly, an improved STFrFT method is adopted, considered with the comprehensive consideration of the restricts of traditional TFT (time frequency transform) kernel functions, parameters of signal types, Cross-terms of multi-component signals, and distorted signal characteristics. Simulation experiments have shown that the recognition performance of radar complex modulation types with lower signal-to-jam ratio (SJR) using the proposed method is superior to conventional time-frequency analysis methods, verifying the technical rationality of the proposed technique.