Signal-subspace-partition event filtering for eigenvector-based security system using radio waves

Shohei Ikeda, Tomoaki Ohtsuki, Hiroyuki Tsuji

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

12 Citations (Scopus)

Abstract

This paper proposes signal-subspace-partition event filtering for the event detection system with signal subspace spanned by eigenvector in [3][4]. To detect an event with small changes of signal subspace components, we emphasize the changes of signal subspace components by selecting an appropriate component of signal subspace with signal-subspace partition. In addition, to detect an event in the presence of the changes of signal subspace components due to some undesired movements, such as by a pet, we mask or attenuate the changes of signal subspace components by selecting an appropriate component of signal subspace with signal-subspace partition. In the proposed method, firstly, we estimate direction of arrival (DOA) to obtain the basis of the signal subspace. Next, we make the parted signal subspace by combining each base of the signal subspace. The parted signal subspace is used as the filter. The experimental results reveal that the proposed method can emphasize or mask or attenuate events using signal-subspace partition.

Original languageEnglish
Title of host publication2009 IEEE 20th Personal, Indoor and Mobile Radio Communications Symposium, PIMRC 2009
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2792-2796
Number of pages5
ISBN (Print)9781424451234
DOIs
Publication statusPublished - 2009
Event2009 IEEE 20th Personal, Indoor and Mobile Radio Communications Symposium, PIMRC 2009 - Tokyo, Japan
Duration: 2009 Sep 132009 Sep 16

Publication series

NameIEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC

Other

Other2009 IEEE 20th Personal, Indoor and Mobile Radio Communications Symposium, PIMRC 2009
CountryJapan
CityTokyo
Period09/9/1309/9/16

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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