Abstract:Practical signals such as radio transient 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 Specific Emitter Identification(SEI) with high accuracy, a method based on Intrinsic Time-scale Decomposition(ITD) for analytic signal is proposed in this paper. The simulation results are presented to demonstrate the effectiveness of this novel method.