Statistical disturbance rejection of the background noise by microwave doppler radar - Modelization of an electric fan noise

Tomoo Tsujimura, Kosuke Okusa, Kurato Maeno, Toshinari Kamakura

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publicationInternational MultiConference of Engineers and Computer Scientists, IMECS 2012
EditorsJon Burgstone, S. I. Ao, Craig Douglas, W. S. Grundfest
PublisherNewswood Limited
Pages455-458
Number of pages4
ISBN (Electronic)9789881925169
ISBN (Print)9789881925114
Publication statusPublished - Jan 1 2012
Externally publishedYes
Event2012 World Congress on Engineering and Computer Science, WCECS 2012 - San Francisco, United States
Duration: Oct 24 2012Oct 26 2012

Publication series

NameLecture Notes in Engineering and Computer Science
Volume1
ISSN (Print)2078-0958

Other

Other2012 World Congress on Engineering and Computer Science, WCECS 2012
CountryUnited States
CitySan Francisco
Period10/24/1210/26/12

All Science Journal Classification (ASJC) codes

  • Computer Science (miscellaneous)

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