title: Macro-motion detection using ultra-wideband impulse radar.
abstract: Radar has the advantage of being able to detect hidden individuals, which can be used in homeland security, disaster rescue, and healthcare monitoring-related applications. Human macro-motion detection using ultra-wideband impulse radar is studied in this paper. First, a frequency domain analysis is carried out to show that the macro-motion yields a bandpass signal in slow-time. Second, the FTFW (fast-time frequency windowing), which has the advantage of avoiding the measuring range reduction, and the HLF (high-pass linear-phase filter), which can preserve the motion signal effectively, are proposed to preprocess the radar echo. Last, a threshold decision method, based on the energy detector structure, is presented.
authors.lastname: Xin Li
authors.lastname: Dengyu Qiao
authors.lastname: Ye Li
mesh_terms: D005583:Fourier Analysis; D006801:Humans; D009038:Motion; D011825:Radar; D012815:Signal Processing, Computer-Assisted; D013997:Time Factors