A Real-Time Indoor Localization Method with Low-Cost Microwave Doppler Radar Sensors and Particle Filter

被引：2

作者：

Ferrand, Sylvain ^{[1
]}

Alouges, Francois ^{[1
]}

Aussal, Matthieu ^{[1
]}

机构：

[1] IP Paris, Ecole Polytech, CNRS, CMAP, Route Saclay, F-91128 Palaiseau, France

来源：

COMPUTERS HELPING PEOPLE WITH SPECIAL NEEDS, ICCHP 2020, PT I | 2020年 / 12376卷

关键词：

Indoor localization; Doppler radar; Particle filter; Electronic travel aid;

D O I：

10.1007/978-3-030-58796-3_54

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：467 / 474

页数：8

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