Detection and parameter estimation of multicomponent LFM signals based on Hilbert-Huang Hough transform

The aim of this paper is the detection and parameter estimation for multicomponent linear frequency modulation (LFM) signals based on Hilbert-Huang Hough transform of the signals. The proposed method iteratively decomposes the multicomponent LFM signals into monocomponent LFM signals and applies Hilbert-Huang Hough transform to each LFM component, which is a mapping from the time domain to the parameter domain. Then the LFM component is detected and the parameters are estimated in terms of the peaks and their locations in the parameter domain. Simulations show that the proposed method can not only achieve high estimation accuracy but also reduce the pseudo interference component.