Multi-component LFM signal detection and parameter estimation based on Radon-HHT

A new method is proposed to analyze multi-component linear frequency modulated (LFM) signals, which eliminates cross terms in conventional Wigner-Ville distribution (WVD). The approach is based on Radon transform and Hilbert-Huang transform (HHT), which is a recently developed method adaptive to non-linear and non-stationary signals. The complicated signal is decomposed into several intrinsic mode functions (IMF) by the empirical mode decomposition (EMD), which makes the consequent instantaneous frequency meaningful. After the instantaneous frequency and Hilbert spectrum are computed, multi-component LFM signals detection and parameter estimation are obtained using Radon transform on the Hilbert spectrum plane. The simulation results show its feasibility and effectiveness.