TY - JOUR
T1 - Hilbert-Huang transform analysis of human activities using through-wall noise and noise-like radar
AU - Lai, C. P.
AU - Narayanan, Ram Mohan
AU - Ruan, Q.
AU - Davydov, A.
PY - 2008
Y1 - 2008
N2 - Various parts of the human body have different movements when a person is performing different physical activities. There is a need to remotely detect and recognise specific human activities for applications involving anti-terrorism, hostage liberation and search-and-rescue. An ultrawideband noise radar system has been built to detect signatures of human activities. The Hilbert-Huang transform, which is used to extract the human-induced Doppler frequency shift from the received signal, facilitates the identification and recognition of various human activities. A non-stationary Doppler model is developed to describe various aspects of human motion, which compares well with measured data. The theoretical analysis and experimental results are discussed.
AB - Various parts of the human body have different movements when a person is performing different physical activities. There is a need to remotely detect and recognise specific human activities for applications involving anti-terrorism, hostage liberation and search-and-rescue. An ultrawideband noise radar system has been built to detect signatures of human activities. The Hilbert-Huang transform, which is used to extract the human-induced Doppler frequency shift from the received signal, facilitates the identification and recognition of various human activities. A non-stationary Doppler model is developed to describe various aspects of human motion, which compares well with measured data. The theoretical analysis and experimental results are discussed.
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U2 - 10.1049/iet-rsn:20070140
DO - 10.1049/iet-rsn:20070140
M3 - Article
AN - SCOPUS:50049086747
SN - 1751-8784
VL - 2
SP - 244
EP - 255
JO - IET Radar, Sonar and Navigation
JF - IET Radar, Sonar and Navigation
IS - 4
ER -