A Recursive Algorithm for Indoor Positioning Using Pulse-Echo Ultrasonic Signals
Autor: | Michele Menniti, Davide C. Critello, Salvatore A. Pullano, Maria Giovanna Bianco, Antonino S. Fiorillo, Antonio La Gatta |
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Jazyk: | angličtina |
Rok vydání: | 2020 |
Předmět: |
Letter
Positioning system Computer science Acoustics Low frequency Communications system lcsh:Chemical technology 01 natural sciences Biochemistry Analytical Chemistry chemistry.chemical_compound 0103 physical sciences lcsh:TP1-1185 Electrical and Electronic Engineering pulse-echo technique ultrasonic transducers 010301 acoustics Instrumentation 010401 analytical chemistry piezopolymer Polyvinylidene fluoride time of flight estimation Atomic and Molecular Physics and Optics 0104 chemical sciences Time of flight chemistry ferroelectric films Ultrasonic sensor Pulse echo |
Zdroj: | Sensors (Basel, Switzerland) Sensors, Vol 20, Iss 5042, p 5042 (2020) |
ISSN: | 1424-8220 |
Popis: | Low frequency ultrasounds in air are widely used for real-time applications in short-range communication systems and environmental monitoring, in both structured and unstructured environments. One of the parameters widely evaluated in pulse-echo ultrasonic measurements is the time of flight (TOF), which can be evaluated with an increased accuracy and complexity by using different techniques. Hereafter, a nonstandard cross-correlation method is investigated for TOF estimations. The procedure, based on the use of template signals, was implemented to improve the accuracy of recursive TOF evaluations. Tests have been carried out through a couple of 60 kHz custom-designed polyvinylidene fluoride (PVDF) hemicylindrical ultrasonic transducers. The experimental results were then compared with the standard threshold and cross-correlation techniques for method validation and characterization. An average improvement of 30% and 19%, in terms of standard error (SE), was observed. Moreover, the experimental results evidenced an enhancement in repeatability of about 10% in the use of a recursive positioning system. |
Databáze: | OpenAIRE |
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