Specific Emitter Identification Based on Intrinsic Time-Scale Decomposition

Practical signals such as communication and radar signals turn out to be non-stationary and nonlinear time series, and estimating instantaneous parameters of such signals in time domain will benefit detecting and identifying specific emitters, such as radio stations and aerospace targets. However, conventional methods such as Wavelet and Wigner-Ville distribution (WVD) methods are difficult to deal with these transient signals when the signal is not stationary. To provide more efficient approach for estimating instantaneous parameters of non-stationary and identifying specific emitter with high accuracy, a novel method based on intrinsic time-scale decomposition (ITD) for analytic signal is proposed in this paper. The simulation results are presented to demonstrate the power and effectiveness of this novel method.