TY - JOUR
T1 - High dynamic-range motion imaging based on linearized doppler radar sensor
AU - Lv, Qinyi
AU - Ye, Dexin
AU - Qiao, Shan
AU - Salamin, Yannick
AU - Huangfu, Jiangtao
AU - Li, Changzhi
AU - Ran, Lixin
N1 - Copyright:
Copyright 2016 Elsevier B.V., All rights reserved.
PY - 2014/9
Y1 - 2014/9
N2 - Miniaturized Doppler radar sensor (DRS) for noncontact motion detection is a hot topic in the microwave community. Previously, small-scale physiological signals such as human respiration and heartbeat rates are the primary interest of study. In this paper, we propose a comprehensive approach that can be used to improve the demodulation linearity of microwave DRSs, such that detailed time-domain motion information ranging from micro-scale to large scale can be accurately reconstructed. Experiments show that based on a digital-IF receiver architecture, dynamic dc offset tracking, and the extended differentiate and cross-multiply arctangent algorithm, the displacement and velocity of both micrometer-scale vibration of a tuning fork and meter-scale human walking can be accurately recovered. Our work confirms that substantial time-domain motion information is carried by the signals backscattered from moving objects. Retrieval of such information using DRSs can be potentially used in a wide range of healthcare and biomedical applications, such as motion pattern recognition and bio-signal measurements.
AB - Miniaturized Doppler radar sensor (DRS) for noncontact motion detection is a hot topic in the microwave community. Previously, small-scale physiological signals such as human respiration and heartbeat rates are the primary interest of study. In this paper, we propose a comprehensive approach that can be used to improve the demodulation linearity of microwave DRSs, such that detailed time-domain motion information ranging from micro-scale to large scale can be accurately reconstructed. Experiments show that based on a digital-IF receiver architecture, dynamic dc offset tracking, and the extended differentiate and cross-multiply arctangent algorithm, the displacement and velocity of both micrometer-scale vibration of a tuning fork and meter-scale human walking can be accurately recovered. Our work confirms that substantial time-domain motion information is carried by the signals backscattered from moving objects. Retrieval of such information using DRSs can be potentially used in a wide range of healthcare and biomedical applications, such as motion pattern recognition and bio-signal measurements.
KW - Digital-IF receiver
KW - Doppler radar sensor (DRS)
KW - extended differentiate and cross-multiply (DACM)
KW - gradient descent
KW - motion imaging
UR - http://www.scopus.com/inward/record.url?scp=84906948926&partnerID=8YFLogxK
U2 - 10.1109/TMTT.2014.2342663
DO - 10.1109/TMTT.2014.2342663
M3 - Article
AN - SCOPUS:84906948926
VL - 62
SP - 1837
EP - 1846
JO - IEEE Transactions on Microwave Theory and Techniques
JF - IEEE Transactions on Microwave Theory and Techniques
SN - 0018-9480
IS - 9
M1 - 6870671
ER -