Continuous Wave Doppler Radar Occupant Count Estimation Using Spectral Features

Building occupancy estimation is important for efficient building management, energy consumption control, and occupant safety and well-being. Radar-based occupancy sensors have a potential to provide an effective tool for building occupancy monitoring, without privacy concerns inherent to camera use. In this paper we propose an occupant count approach based on spectral features of continuous wave Doppler radar signals in the presence of multiple occupants. The proposed approach is tested using envelope-transient simulation for the case of ten occupants, and it is demonstrated that spectral features change proportionally to the number of occupants.

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Publication Details

Published
2024-10-21
DOI
https://doi.org/10.1109/imas61316.2024.10818165
Primary Topic
Radar Systems and Signal Processing
Type
article
Field-Weighted Citation Impact
0.00

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article

Continuous Wave Doppler Radar Occupant Count Estimation Using Spectral Features

Almudena Suárez, Franco Ramírez, Victor M. Lubecke, Olga Borić-Lubecke
Radar Systems and Signal Processing
article

Continuous Wave Doppler Radar Occupant Count Estimation Using Spectral Features

Almudena Suárez, Franco Ramírez, Victor M. Lubecke, Olga Borić-Lubecke
article en

Abstract

Building occupancy estimation is important for efficient building management, energy consumption control, and occupant safety and well-being. Radar-based occupancy sensors have a potential to provide an effective tool for building occupancy monitoring, without privacy concerns inherent to camera use. In this paper we propose an occupant count approach based on spectral features of continuous wave Doppler radar signals in the presence of multiple occupants. The proposed approach is tested using envelope-transient simulation for the case of ten occupants, and it is demonstrated that spectral features change proportionally to the number of occupants.

Universidad de Cantabria (ES), University of Hawaii System (US)
National Science Foundation, Ministerio de Ciencia e Innovación, Agencia Estatal de Investigación
Affordable and clean energy
Openalex Percentile: Top 58%
Radar Systems and Signal Processing
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