DocumentCode :
2089949
Title :
Human activity classification and localization using bistatic three frequency CW radar
Author :
Okamoto, Yuji ; Ohtsuki, Tomoaki
Author_Institution :
Dept. of Inf. & Comput. Sci., Keio Univ., Yokohama, Japan
fYear :
2013
fDate :
9-13 June 2013
Firstpage :
4808
Lastpage :
4812
Abstract :
We propose a human activity classification and localization using a bistatic three frequency continuous wave (CW) radar. In the proposed algorithm each transmit antenna transmits signals with unique frequency. Thus, we can obtain Doppler signals for each transmit frequency, that is, each transmit antenna. Based on Doppler spectrums calculated from the received signals, we can estimate the number of human beings from the number of spectrum lines concerning translational motion, and motion interval from peaks of the spectrum. In addition, by using the relative velocity transformed from Doppler frequency and the estimated range information, we can classify human activities and track multiple human beings. Note that the conventional system using two frequency CW algorithm can estimate the position of a target by using phase information of the Doppler signal extracted from echo waves, however it can estimate only single target. Through computer simulation, we show that the proposed algorithm using a bistatic three frequency CW radar can classify various human activities and track multiple targets.
Keywords :
CW radar; Doppler radar; radar signal processing; signal classification; transmitting antennas; Doppler frequency; Doppler signals; Doppler spectrums; bistatic three frequency continuous wave radar; echo waves; human activity classification and localization; translational motion; transmit antenna; Doppler effect; Radar; Radar antennas; Receiving antennas; Transmitting antennas; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications (ICC), 2013 IEEE International Conference on
Conference_Location :
Budapest
ISSN :
1550-3607
Type :
conf
DOI :
10.1109/ICC.2013.6655335
Filename :
6655335
Link To Document :
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