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 :
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