DocumentCode
682664
Title
FM signal parameter estimation using the Hilbert Huang transform
Author
Hao Chen ; Jun-Hai Guo ; Tong Liu
Author_Institution
Beijing Inst. of Tracking & Telecommun. Technol., Beijing, China
Volume
03
fYear
2013
fDate
16-18 Dec. 2013
Firstpage
1246
Lastpage
1250
Abstract
Combining EMD (Empirical mode decomposition) based denoising methods with mode decomposition methods, new robust FM (frequency modulation) signal parameter estimation methods are proposed. The original signal is firstly denoised with EMD based denoising method, HHT (Hilbert Huang transform) based FM signal parameter estimation method is then used on the denoised signal. Simulations show that the EMD based denoising method largely increases signal´s SNR and does no harm to the mode decomposition, making the FM parameter estimation method more robust to noise, and the application in radar target estimation proves the usefulness of this method.
Keywords
Hilbert transforms; frequency modulation; parameter estimation; radar tracking; signal denoising; EMD based denoising method; FM signal parameter estimation; HHT; Hilbert Huang transform; denoised signal; empirical mode decomposition; frequency modulation; radar target estimation; Acceleration; Empirical mode decomposition; Frequency modulation; Noise reduction; Signal to noise ratio; EMD based denoising; FM signal; HHT; Principal component extraction;
fLanguage
English
Publisher
ieee
Conference_Titel
Image and Signal Processing (CISP), 2013 6th International Congress on
Conference_Location
Hangzhou
Print_ISBN
978-1-4799-2763-0
Type
conf
DOI
10.1109/CISP.2013.6743863
Filename
6743863
Link To Document