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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 c...
This paper presents a novel CFAR compressed detection approach for human detection using IR-UWB radar. The associated Xampling scheme operates way below the Nyquist limit and is designed to minimize the sensing matrix coherence, without increasing the implementation complexity. The proposed signal processing architecture aims to detect both moving...