Experimental approach for IR-UWB Radar-Based people detection in Industry 4.0 environments - Archive ouverte HAL
Communication Dans Un Congrès Année : 2024

Experimental approach for IR-UWB Radar-Based people detection in Industry 4.0 environments

Résumé

An experimental investigation of people detection in Industry 4.0 environments, using impulse radio ultra-wideband signals, is described in this paper. Given the specific characteristics of the considered indoor environment and signals of interest, we first address clutter reduction, and then propose a two-paths signal processing architecture for constant false alarm rate (CFAR) detection of moving and stationary people, using matched filtering and Doppler focusing, respectively. A statistical study of the residual clutter and noise is carried out, and optimal threshold values are derived for these two use cases. The performance of the two CFAR detectors is then assessed using simulated data for different signal-to-noise ratios (SNR) and false alarm probabilities. Finally, their detection capabilities are explored using real data, measured in a heavily cluttered Industry 4.0 indoor environment, for a specially designed scenario with a person alternating between stop and motion phases.

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Dates et versions

hal-04733890 , version 1 (13-10-2024)

Identifiants

  • HAL Id : hal-04733890 , version 1

Citer

Zaynab Baydoun, Roua Youssef, Emanuel Radoi, Stéphane Azou, Tina Yaacoub, et al.. Experimental approach for IR-UWB Radar-Based people detection in Industry 4.0 environments. 32th European Signal Processing Conference (EUSIPCO 2024), Aug 2024, Lyon, France. pp.2042-2046. ⟨hal-04733890⟩
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