Hilbert-Huang Transform (HHT) analysis of human activities using through-wall noise radar

Chieh Ping Lai, Qing Ruan, Ram M. Narayanan

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

14 Scopus citations

Abstract

Various parts of the human body have different movements when a person is performing different physical activities. There is a need to remotely detect human heartbeat and breathing for applications involving anti-terrorism and search-and-rescue. Ultrawideband noise radar systems are attractive because they are covert and immune from interference. The conventional time-frequency analyses of human activity are not generally applicable to nonlinear and nonstationary signals. If one can decompose the noisy baseband reflected signal and extract only the human-induced Doppler from it, the identification of various human activities becomes easier. We propose a nonstationary model to describe human motion and apply the Hilbert-Huang transform (HHT), which is adaptive to nonlinear and nonstationary signals, in order to analyze frequency characteristics of the baseband signal. When used with noise-like radar data, it is useful covertly identify specific human movement.

Original languageEnglish (US)
Title of host publication2007 International Symposium on Signals, Systems, and Electronics, URSI ISSSE 2007
Pages115-118
Number of pages4
DOIs
StatePublished - 2007
Event2007 International Symposium on Signals, Systems and Electronics, URSI ISSSE 2007 - Montreal, QC, Canada
Duration: Jul 30 2007Aug 2 2007

Publication series

NameConference Proceedings of the International Symposium on Signals, Systems and Electronics

Other

Other2007 International Symposium on Signals, Systems and Electronics, URSI ISSSE 2007
Country/TerritoryCanada
CityMontreal, QC
Period7/30/078/2/07

All Science Journal Classification (ASJC) codes

  • Signal Processing

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