TWOR: Improving Modeling and Self-Localization in RFID-Tag Networks Under Colored Noise

TWOR: Improving Modeling and Self-Localization in RFID-Tag Networks Under Colored Noise

This paper discusses the three-wheeled omnidirectional robot (TWOR) self-localization in radio frequency identification (RFID) tag environments. The nonlinear TWOR model is significantly improved by using geometric interpretation and incremental time representation in discrete time. The TWOR positio...

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Bibliographic Details
Main Authors: Jorge A. Ortega-Contreras, Jose A. Andrade-Lucio, Oscar G. Ibarra-Manzano, Yuriy S. Shmaliy
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
TWOR modeling
self-localization
colored noise
extended unbiased FIR filter
extended Kalman filter
Online Access:https://ieeexplore.ieee.org/document/9950498/

Internet

https://ieeexplore.ieee.org/document/9950498/

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