Accurate and Low-Complexity Auto-Fingerprinting for Enhanced Reliability of Indoor Localization Systems
| Autor: | Sara Abou-Chakra, Sergio Fortes, Elizabeth Colin, Elias Hatem, Jean-Marc Laheurte, Bachar El-Hassan |
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| Přispěvatelé: | Electronique, Systèmes de communication et Microsystèmes (ESYCOM), Conservatoire National des Arts et Métiers [CNAM] (CNAM)-Université Paris-Est Marne-la-Vallée (UPEM)-ESIEE Paris, École d'ingénieur généraliste en informatique et technologies du numérique (EFREI), Université Libanaise, Conservatoire National des Arts et Métiers [CNAM] (CNAM)-Centre National de la Recherche Scientifique (CNRS)-Université Gustave Eiffel, Universidad de Málaga [Málaga] = University of Málaga [Málaga] |
| Rok vydání: | 2021 |
| Předmět: |
Computer science
Reliability (computer networking) Real-time computing positionerror TP1-1185 02 engineering and technology 01 natural sciences Biochemistry two-wheeled robot Field (computer science) Article localization Analytical Chemistry [SPI.AUTO]Engineering Sciences [physics]/Automatic Received Signal Strength 0202 electrical engineering electronic engineering information engineering position error Radio-frequency identification Wireless Electrical and Electronic Engineering Instrumentation business.industry Chemical technology Cumulative distribution function 010401 analytical chemistry 020206 networking & telecommunications Mobile robot Multilateration Atomic and Molecular Physics and Optics 0104 chemical sciences [SPI.ELEC]Engineering Sciences [physics]/Electromagnetism RFID tag Robot auto-fingerprinting business |
| Zdroj: | Sensors (Basel, Switzerland) Sensors Volume 21 Issue 16 Sensors, MDPI, 2021, 21 (16), pp.5346. ⟨10.3390/s21165346⟩ Sensors, Vol 21, Iss 5346, p 5346 (2021) |
| ISSN: | 1424-8220 |
| DOI: | 10.3390/s21165346⟩ |
| Popis: | International audience; Indoor localization is one of the most important topics in wireless navigation systems. The large number of applications that rely on indoor positioning makes advancements in this field important. Fingerprinting is a popular technique that is widely adopted and induces many important localization approaches. Recently, fingerprinting based on mobile robots has received increasing attention. This work focuses on presenting a simple, cost-effective and accurate auto-fingerprinting method for an indoor localization system based on Radio Frequency Identification (RFID) technology and using a two-wheeled robot. With this objective, an assessment of the robot’s navigation is performed in order to investigate its displacement errors and elaborate the required corrections. The latter are integrated in our proposed localization system, which is divided into two stages. From there, the auto-fingerprinting method is implemented while modeling the tag-reader link by the Dual One Slope with Second Order propagation Model (DOSSOM) for environmental calibration, within the offline stage. During the online stage, the robot’s position is estimated by applying DOSSOM followed by multilateration. Experimental localization results show that the proposed method provides a positioning error of 1.22 m at the cumulative distribution function of 90%, while operating with only four RFID active tags and an architecture with reduced complexity. |
| Databáze: | OpenAIRE |
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