2008
DOI: 10.1049/iet-rsn:20070140
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Hilbert–Huang transform analysis of human activities using through-wall noise and noise-like radar

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Cited by 59 publications
(36 citation statements)
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“…It involves adaptive decomposition of a signal into constituent time-frequency components called intrinsic mode functions (IMFs). Preliminary work on using the EMD-HS approach towards human Doppler analysis was presented in [14]. We review the EMD-HS algorithm in Section 2 and define the instantaneous frequency of a signal.…”
Section: Introductionmentioning
confidence: 99%
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“…It involves adaptive decomposition of a signal into constituent time-frequency components called intrinsic mode functions (IMFs). Preliminary work on using the EMD-HS approach towards human Doppler analysis was presented in [14]. We review the EMD-HS algorithm in Section 2 and define the instantaneous frequency of a signal.…”
Section: Introductionmentioning
confidence: 99%
“…However, walking induces high Doppler shifts in the waveform that can be observed over short time durations. The Doppler shifts due to walking also display regular repetitive frequency modulations [14], by virtue of the regularity of human gait. The finite non-zero dimensions of the human arm and other parts of the body result in a Doppler return that consists of multiple frequency components at each time instant [14].…”
Section: Modeling Doppler Signatures Due To Human Activitymentioning
confidence: 99%
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“…The frequency range of noise radars covers an interval from MHz to hundreds of GHz and this is only a technological limitation at the current development stage of electronics. Main application fields of noise radars are as follows: anti-collision radars [10], protection of objects, detection of motion/movement [11,12], recognition and penetration of inaccessible objects, penetration of objects hidden in shallow soil layers, or detection of living beings in inaccessible areas. The authors' future plans will focus on application of the detector systems presented in the paper to selected noise radars.…”
Section: Conclusion and Future Plansmentioning
confidence: 99%