Radar Emitter Identification Based on Spectral Resemblance Coefficient

Abstract

The traditional radar emitter identification method based on the five parameters of the pulse is difficult to achieve the desired effect in today’s abnormally dense electromagnetic environment. Modern radars often impose intentional modulation in the signal to improve the anti-jamming and low interception performance. Therefore, a radar emitter identification method based on the spectrum resemblance coefficient is proposed in this paper, which reflects the approximation degree between the signal spectrum and various basis functions by calculating the resemblance coefficients between them. Simulation results show that the method proposed in this paper has strong anti-interference capability and can effectively distinguish different types of intra-pulse modulated radar signals.

A novel multi-featured decision system for multi-classification tasks

“…In [12], higher-order cumulants are extracted to distinguish between single user modulation classification and multiuser modulation classification. In [13], spectrum resemblance coefficient is proposed for radar emitter identification, and the proposed method can effectively distinguish different types of intra-pulse modulated radar signals. In [14], a new time-frequency analysis method named generalized synchrosqueezing transform is proposed to deal with the non-stationary signal with complicated instantaneous frequency, and experiments show that generalized synchrosqueezing transform is effective in analyzing real-world signals and fault diagnosis.…”