Comprehensive LPI radar waveform recognition system

Abstract

In this study, a comprehensive automatic low probability of intercept (LPI) radar waveform recognition technique (LWRT) that includes both LPI radar signal classification and parameter extraction is proposed. It is shown with the Monte Carlo simulation that, even without the unrealistic assumptions used in the previous studies, the proposed LWRT achieves classification performance similar to that of the state-of-the-art LWRT for pulse wave (PW) LPI radar waveforms. And by the combination of the single shot multi-box detector (SSD) or YOLOv3 and a supplementary classifier, the proposed LWRT achieves an extraordinary classification performance for continuous (CW) LPI radar waveforms for all the twelve modulation schemes considered in the literature (i.e., BPSK, Costas, LFM, Frank, P1, P2, P3, P4, T1, T2, T3, and T4). Moreover, efficient parameter extraction functions are proposed to effectively estimate the parameters of the intercepted signal, which can help to design the countermeasure in electronic warfare.