|Table of Contents|

Multiple-subject vital sign detection for impulse-radioultra-wideband radar based on WA-EMD(PDF)

《南京理工大学学报》(自然科学版)[ISSN:1005-9830/CN:32-1397/N]

Issue:
2017年02期
Page:
198-
Research Field:
Publishing date:

Info

Title:
Multiple-subject vital sign detection for impulse-radioultra-wideband radar based on WA-EMD
Author(s):
Tang LiangyongZhao HengZhang Yaju
School of Electronic and Optical Engineering,Nanjing University of Science and Technology,Nanjing 210094,China
Keywords:
ultra-wideband radars window average-empirical mode decomposition time-frequency analysis non-contact vital sign detection
PACS:
TN958.2
DOI:
10.14177/j.cnki.32-1397n.2017.41.02.010
Abstract:
In view of the problem that identification and separation of vital signs from multiple subjects for the non-contact vital sign detection system of the impulse-radio ultra-wideband radar are difficult,a high-resolution algorithm based on the window average-empirical mode decomposition(WA-EMD)is proposed in this paper.The windowed method is used in the WA-EMD algorithm to calculate the local mean for eliminating the mode mixing and noise,and the respiratory signals from different subjects are separated accurately and the different subjects in a single range bin are identified effectively.The Hilbert transform is used to acquire the time-varying respiratory rate.Simulation and measurement results show that the vital signs of multiple subjects in the same range bin can be separated and identified accurately,and the real-time respiratory rate can be acquired.

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Last Update: 2017-04-30