Feature parameter extraction approach with the stealth S-Cubed radar signal

Radar equipments of stealth platforms such as aircrafts have adopted the newest modern technology to design the signal waveforms. One of the important and effective methods is the hybrid stealth radar waveform called spread spectrum stretch (S-Cubed). In this paper, the model of S-Cubed which combines linear frequency modulation (LFM) and discrete phase code is presented. Then, a novel approach based on phase difference and clustering is proposed for the feature parameter extraction of the intercepted S-Cubed. Simulation results show that the proposed algorithm has higher parameter extraction accuracy when the SNR is above 10dB.