Fixed-point Processing for an IR Positioning System based on QADA Receivers
Authors
Moltó Orozco, DavidIdentifiers
Permanent link (URI): http://hdl.handle.net/10017/57898DOI: 10.1109/IPIN54987.2022.9918156
ISBN: 978-1-7281-6218-8
Publisher
IEEE
Date
2022-10-26Academic Departments
Universidad de Alcalá. Departamento de Electrónica
Funders
Agencia Estatal de Investigación
Universidad de Alcalá
Bibliographic citation
Moltó, D., Hernández, Á., Aparicio Esteve, E., Ureña, J. & Pérez Rubio, M.C. 2022, "Fixed-point Processing for an IR Positioning System based on QADA Receivers”, in 2022 IEEE 12th International Conference on Indoor Positioning and Indoor Navigation (IPIN), pp. 1-7. DOI: 10.1109/IPIN54987.2022.9918156.
Keywords
Indoor optical positioning system
Photoreceptors
Fixed-point representation
FPGA
Description / Notes
2022 IEEE 12th International Conference on Indoor Positioning and Indoor Navigation (IPIN), 5-8 September, 2022, Beijing, China.
Project
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-095168-B-C51/ES/SISTEMAS DE POSICIONAMIENTO LOCAL: ENFOQUE HOLISTICO DESDE LAS TECNOLOGIAS BASE HASTA LAS APLICACIONES/
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-105470RA-C33/ES/MEJORANDO Y FOMENTANDO LA VIDA ACTIVA Y BIENESTAR DE LAS PERSONAS CON DEMENCIA Y DETERIORO COGNITIVO LEVE MEDIANTE EL USO DE TECNICAS DE LOCALIZACION/
info:eu-repo/grantAgreement/UAH//CM-JIN-2021-027
info:eu-repo/grantAgreement/UAH//CM-JIN-2021-016
Document type
info:eu-repo/semantics/bookPart
Version
info:eu-repo/semantics/acceptedVersion
Publisher's version
https://doi.org/10.1109/IPIN54987.2022.9918156Rights
Attribution-NonCommercial-NoDerivatives 4.0 International (CC-BY-NC-ND 4.0)
© 2022 IEEE
Access rights
info:eu-repo/semantics/openAccess
Abstract
Indoor optical positioning systems have increased in popularity in recent years because they can provide centimeter accuracy in three dimensions (3D) utilizing light-emitting diodes (LEDs) and photoreceptors. This work presents the design of a positioning system, which is based on a set of four photoreceptors functioning as beacons at known places for a single LED to be positioned. However, it might be extended to additional emitters with some medium access control. The associated processing is explained, as well as the basic assumptions to be addressed when approaching its hardware implementation, such as the preliminary partitioning of tasks between hardware and software, and the fixed-point representation of the processing to be implemented in hardware. The system has been validated by simulation in a 2 × 2 × 3.4 m3 volume, yielding mean absolute errors around 0.004 m for the X and Y axes, and around 0.01 m for the Z-axis, as well as lower standard deviations than 0.004 m for the X and Y axes and 0.01 m for the Z-axis.
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