Abstract
We propose a novel method of localization based on low-cost continuous-wave unmodulated doppler microwave radar sensors. We use both velocity measures and distance estimations with RSS from radar sensors. We also implement a particle filter for real time localization. Experiments show that, with a reasonable initial estimate, it is possible to track the movements of a person in a room with enough accuracy for considering using this type of devices for monitoring a person or indoor guiding applications.
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CITATION STYLE
Ferrand, S., Alouges, F., & Aussal, M. (2020). A real-time indoor localization method with low-cost microwave doppler radar sensors and particle filter. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 12376 LNCS, pp. 467–474). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-58796-3_54
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