FM Signal Parameter Estimation Using the Hilbert Huang Transform

被引:0
|
作者
Chen, Hao [1 ]
Guo, Jun-hai [1 ]
Liu, Tong [2 ]
机构
[1] Beijing Inst Tracking & Telecommun Technol, Beijing, Peoples R China
[2] Xian Inst Aerosp Prop Technol, Xian, Peoples R China
来源
2013 6TH INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING (CISP), VOLS 1-3 | 2013年
关键词
HHT; FM signal; EMD based denoising; Principal component extraction; EMPIRICAL MODE DECOMPOSITION;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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.
引用
收藏
页码:1246 / 1250
页数:5
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