DocumentCode
2168383
Title
Detection of non-contact life-parameter signals by EMD
Author
Jian-jun, Li
Author_Institution
Inf. Eng. Coll., Inner Mongolia Sci. & Technol. Univ., Baotou, China
fYear
2011
fDate
9-11 Sept. 2011
Firstpage
3661
Lastpage
3664
Abstract
This article through the analysis of the radar non-contact life-parameter signals and gain its characteristics of extremely low frequency, low signal-to-noise ratio, and the easy submerged in strong clutter. This paper presents a threshold denoising algorithm based on empirical mode decomposition, the algorithm can adaptive efficient decomposition complex signal, and directly extract life-parameter signals don´t need preprocessing, and can be very good reserves nonlinear and unsteady characteristics for the study in the chaotic noise background weak signal detection which is of great practical significance.
Keywords
clutter; radar signal processing; signal denoising; signal detection; EMD; clutter; empirical mode decomposition; noncontact life-parameter signals detection; radar noncontact life-parameter signals; signal-to-noise ratio; threshold denoising algorithm; Algorithm design and analysis; Educational institutions; Feature extraction; Filtering; Noise reduction; Radar; Signal to noise ratio; EMD; SNR; Threshold;
fLanguage
English
Publisher
ieee
Conference_Titel
Electronics, Communications and Control (ICECC), 2011 International Conference on
Conference_Location
Ningbo
Print_ISBN
978-1-4577-0320-1
Type
conf
DOI
10.1109/ICECC.2011.6066316
Filename
6066316
Link To Document