Presentation 2012-03-09
Localization Algorithm Using Bistatic Three Frequency CW Radar Based on Doppler Shift
Yoshihisa OKAMOTO, Tomoaki OHTSUKI,
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Abstract(in English) Recently, Doppler radar has been used in various applications. It can estimate velocity of a target by using Doppler effect relative to reflecting of radio wave. Doppler radar can be applied for human activity classification. By analyzing frequency spectral pattern of echo waves reflected from human's arms and legs, we can classify various human activities. In addition, two frequency continuous wave (CW) method is well-known as a localization method that can estimate the position of a target by using phase information of Doppler signal extracted from echo waves. However, if plural targets exist in observation area, since each echo is received as a synthetic wave, we cannot separate each phase component. Thus, we cannot estimate each position coordinate accurately. In this report, we propose bistatic three frequency CW method that can estimate the positions of plural human beings accurately by spatial steering using Doppler frequency. By analyzing the synthetic wave of echo reflected from each human body part, we classify various human activities and estimate the position of human being simultaneously.
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Keyword(in English) Doppler radar / human activity classification / two frequency CW method / bistatic model
Paper # RCS2011-361
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Conference Information
Committee RCS
Conference Date 2012/2/29(1days)
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Registration To Radio Communication Systems (RCS)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Localization Algorithm Using Bistatic Three Frequency CW Radar Based on Doppler Shift
Sub Title (in English)
Keyword(1) Doppler radar
Keyword(2) human activity classification
Keyword(3) two frequency CW method
Keyword(4) bistatic model
1st Author's Name Yoshihisa OKAMOTO
1st Author's Affiliation Faculty of Science and Technology, Keio University()
2nd Author's Name Tomoaki OHTSUKI
2nd Author's Affiliation Faculty of Science and Technology, Keio University
Date 2012-03-09
Paper # RCS2011-361
Volume (vol) vol.111
Number (no) 451
Page pp.pp.-
#Pages 6
Date of Issue