Paper
21 June 2011 Through-the-wall detection of human activity
Tommy Johansson, Jonas Rahm, Jan Gustavsson, Stefan Nilsson, Ain Sume, Anders Örbom
Author Affiliations +
Abstract
An approach toward real-time for radar through-the-wall (TTW) sensing is presented. The aim is to detect and classify human motions behind walls. In the future a system could support an operator with information on the activity in a closed room, e.g., in a hostage situation. To meet this objective, radar TTW measurements have been performed on moving person(s) inside a closed room and an MTI-based signal processing algorithm, using coherent subtraction between different frequency sweeps, has been developed. The radar was equipped with ridge horn antennas which were directed toward an outer door. For each measurement the radar frequency was swept between 5 and 10 GHz 1893 times, with a sweep sampling rate of ~94 Hz. A crucial algorithm parameter is the time distance between two subtracting sweeps, or the sweep difference. Fast and slow motions are captured by using separate sweep differences. Applying the algorithm to the TTW data, we find that human motions behind a door can be detected with the background well suppressed. Even a person who is standing still without breathing is fairly easy to detect. The results are promising with low false alarm rates and fast signal processing rates, enabling real-time operation capability.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Tommy Johansson, Jonas Rahm, Jan Gustavsson, Stefan Nilsson, Ain Sume, and Anders Örbom "Through-the-wall detection of human activity", Proc. SPIE 8021, Radar Sensor Technology XV, 80211O (21 June 2011); https://doi.org/10.1117/12.883908
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Cited by 2 scholarly publications.
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KEYWORDS
Radar

Signal processing

Antennas

Detection and tracking algorithms

Algorithm development

Filtering (signal processing)

Phase shifts

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