TY - GEN
T1 - Statistical disturbance rejection of the background noise by microwave doppler radar - Modelization of an electric fan noise
AU - Tsujimura, Tomoo
AU - Okusa, Kosuke
AU - Maeno, Kurato
AU - Kamakura, Toshinari
N1 - Funding Information:
This work was supported in part by “Adaptable and Seamless Technology Transfer Program through Target-driven R&D”, Japan Science and Technology Agency.
Publisher Copyright:
© 2012 Newswood Limited. All rights reserved.
PY - 2012
Y1 - 2012
N2 - Recently, the study with microwave Doppler radar is paid attention to. Microwave Doppler radar is one of the non-contact sensor, and detects the action of objects. The study focused on indoor human behavior has been developed. However, disturbance environment that pet and electronic device are moving in the room is considered in real daily life. We considered that an oscillating electric fan is most difficult disturbance environment to discriminate from human breathing, because the frequency range of which each signature appears is similar. In this paper, we propose a method to simulate the moving of an oscillating electric fan based on the data obtained from microwave Doppler radar. Finally, we evaluate the modelization of the moving of an oscillating electric fan. We compare computer simulation with metering experiment by residual sum of squares. As a result, our model shows good performance.
AB - Recently, the study with microwave Doppler radar is paid attention to. Microwave Doppler radar is one of the non-contact sensor, and detects the action of objects. The study focused on indoor human behavior has been developed. However, disturbance environment that pet and electronic device are moving in the room is considered in real daily life. We considered that an oscillating electric fan is most difficult disturbance environment to discriminate from human breathing, because the frequency range of which each signature appears is similar. In this paper, we propose a method to simulate the moving of an oscillating electric fan based on the data obtained from microwave Doppler radar. Finally, we evaluate the modelization of the moving of an oscillating electric fan. We compare computer simulation with metering experiment by residual sum of squares. As a result, our model shows good performance.
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M3 - Conference contribution
AN - SCOPUS:85049921965
SN - 9789881925114
T3 - Lecture Notes in Engineering and Computer Science
SP - 455
EP - 458
BT - International MultiConference of Engineers and Computer Scientists, IMECS 2012
A2 - Burgstone, Jon
A2 - Ao, S. I.
A2 - Douglas, Craig
A2 - Grundfest, W. S.
PB - Newswood Limited
T2 - 2012 World Congress on Engineering and Computer Science, WCECS 2012
Y2 - 24 October 2012 through 26 October 2012
ER -