Hilbert-Huang transform analysis of human activities using through-wall noise and noise-like radar

C. P. Lai, Ram Mohan Narayanan, Q. Ruan, A. Davydov

Research output: Contribution to journalArticle

49 Scopus citations


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.

Original languageEnglish (US)
Pages (from-to)244-255
Number of pages12
JournalIET Radar, Sonar and Navigation
Issue number4
Publication statusPublished - Aug 28 2008


All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

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