Title :
Detection of non-contact life-parameter signals by EMD
Author_Institution :
Inf. Eng. Coll., Inner Mongolia Sci. & Technol. Univ., Baotou, China
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;
Conference_Titel :
Electronics, Communications and Control (ICECC), 2011 International Conference on
Conference_Location :
Ningbo
Print_ISBN :
978-1-4577-0320-1
DOI :
10.1109/ICECC.2011.6066316