Real-Time Identification of Exotic Modulated Radar Signals for Electronic Intelligence Systems

In the modern battle field, due to proliferation of the similar radars growing demand for specific emitter identification. To identify these radars uniquely in real-time is a challenge to understand the deployment pattern. Present ELINT systems are required to decipher the exotic modulations on a pulse to pulse basis to achieve specific emitter identification of military radars. In this paper, instantaneous frequency profile is used to measure the exotic modulation and their parameter which includes linear frequency modulation (LFM) with bi-phase modulation (BPM) and stepped frequency modulation (SFM) with BPM along with other modulations. These modulation measurements contribute in de-interleaving of signals. The proposed algorithm is simulated in Matlab and results are verified with different signal-to-noise ratios. This algorithm is also implemented on FPGA to demonstrate real-time performance.