Model-based iterative position estimation algorithm for RFID tag floor localization

The RFID tag floor localization method is one of the recently proposed localization methods for mobile platforms based on the RFID system. The method utilizes an RFID tag grid on a work area and RFID readers under the mobile platforms for localization. There have been several researches to improve the accuracy of the position estimation from the information of detected tags. However, the accuracy of position estimation is limited by the density of the RFID tag grid. However, with the recognition model of tags and readers, the position estimation accuracy can be improved more. For instance, localization of RFID tags with virtual reference tags (L-VIRT) algorithm utilizes model information to improve the position estimation accuracy, but it requires numerous model evaluations for localization. This paper proposes a more accurate and efficient model-based iterative localization algorithm for the RFID tag floor localization. The performance improvement is verified by simulations.