DocumentCode
638413
Title
Small-scale displacement measurement with passive harmonic RF tag using Doppler radar
Author
Xiaomeng Gao ; Singh, Ashutosh ; Boric-Lubecke, O. ; Lubecke, Victor M.
Author_Institution
Univ. of Hawaii at Manoa, Honolulu, HI, USA
fYear
2013
fDate
14-18 April 2013
Firstpage
1
Lastpage
4
Abstract
Measurement accuracy of the displacement from human cardiopulmonary activities has potential in predicting physiological information for the purpose of biomedical remote sensing and non-contact monitoring. In this paper, an RF frequency doubling tag was used for detecting small displacement with high accuracy. A heterodyne and a homodyne quadrature radar receiving systems were used to detect small scale tag motion and non-tagged motion from a distance, respectively. Arctangent demodulation algorithm and imbalance compensation technique were applied to the raw radar data for displacement estimation. Simulation and experimental results were compared, indicating that by using the frequency doubling tag, a better accuracy can be achieved for small displacement estimation with Doppler radar.
Keywords
Doppler radar; biomedical measurement; demodulation; displacement measurement; physiology; RF frequency doubling tag; arctangent demodulation algorithm; biomedical remote sensing; displacement estimation; doppler Radar; frequency doubling tag; heterodyne quadrature radar systems; homodyne quadrature radar receiving systems; human cardiopulmonary activities; imbalance compensation technique; measurement accuracy; noncontact monitoring; passive harmonic RF tag; physiological information; raw radar data; small-scale displacement measurement; Accuracy; Baseband; Doppler radar; Estimation; Harmonic analysis; Receivers; Doppler radar; Harmonic RF tag; displacement estimation; imbalance compensation; physiological monitoring;
fLanguage
English
Publisher
ieee
Conference_Titel
Wireless Symposium (IWS), 2013 IEEE International
Conference_Location
Beijing
Type
conf
DOI
10.1109/IEEE-IWS.2013.6616843
Filename
6616843
Link To Document