Novel method for estimating the instantaneous parameters of radio transmitter signals

Practical signals such as communication signals and speech 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 radio transmitters, such as radio stations and aerospace targets. However, conventional methods such as Hilbert transform (HT) and Teages-Kaiser(T-K) methods fail to deal with these transient signals when there is a heavy signal distortion or very low SNR. To provide more efficient approach for estimating instantaneous parameters of non-stationary and nonlinear signals with high accuracy, a novel method based on orthogonal component reconstruction(OCR) for analytic signal is proposed in this paper. Both the further analysis and simulation results are presented to demonstrate the power and effectiveness of this novel method.