DocumentCode :
3605453
Title :
A Low-IF Tag-Based Motion Compensation Technique for Mobile Doppler Radar Life Signs Monitoring
Author :
Rahman, Ashikur ; Yavari, Ehsan ; Singh, Aditya ; Lubecke, Victor M. ; Lubecke, Olga-Boric
Author_Institution :
Dept. of Electr. Eng., Univ. of Hawaii at Manoa, Honolulu, HI, USA
Volume :
63
Issue :
10
fYear :
2015
Firstpage :
3034
Lastpage :
3041
Abstract :
This paper presents low IF techniques for noninvasive detection of vital signs from a mobile short-range Doppler radar platform. Stationary continuous-wave Doppler radar has been used for displacement measurement and vital signs detection. However, on a mobile platform, measurements become challenging due to motion artifacts induced by the platform. In this work, a complete compensated single transceiver radar system for vital signs detection in the presence of platform movement is demonstrated. In earlier related work, motion of the radar module was determined using cameras installed on site. However, practical mobile monitoring applications would preclude the use of such stationary cameras. In this work, an RF tag and a low IF radar architecture with an adaptive noise cancellation technique is employed to extract desired vital signs motion information even in the presence of large platform motion.
Keywords :
Doppler radar; IIR filters; adaptive filters; motion compensation; patient monitoring; radio transceivers; radiofrequency identification; RF tag; adaptive noise cancellation technique; compensated single transceiver radar system; low-IF tag-based motion compensation technique; mobile short-range Doppler radar platform; vital signs detection; Baseband; Doppler radar; Mobile communication; Radar antennas; Radio frequency; Receivers; Adaptive filters; Doppler radar; RF tag; demodulation; infinite impulse response (IIR) filters; low IF;
fLanguage :
English
Journal_Title :
Microwave Theory and Techniques, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9480
Type :
jour
DOI :
10.1109/TMTT.2015.2471998
Filename :
7243361
Link To Document :
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