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Parameters estimation for multicomponent LFM signals using EMD based fractional Fourier transform

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3 Author(s)
Yuan Ye ; Sch. of Inf. Eng., Beijing Inst. of Fashion Technol., Beijing, China ; Li Qing-fu ; Fu Ying

This paper have focused on the parameter estimation for multicomponent linear frequency modulation (LFM) signals using EMD based fractional Fourier transform. The proposed method iteratively decomposes the multicomponent LFM signals into monocomponent LFM signals and applies fractional Fourier transform (FRFT) to each LFM component, which is a mapping from the time domain to the fractional Fourier domain. Then the LFM component is detected and the parameters are estimated in terms of the maxima and their locations in the fractional Fourier domain. Simulations show that the proposed method can not only achieve high estimation accuracy but also suppress the corss-terms introduced in other time-frequency distributions (TFDs ).

Published in:

Computational Intelligence and Industrial Applications, 2009. PACIIA 2009. Asia-Pacific Conference on  (Volume:1 )

Date of Conference:

28-29 Nov. 2009

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