Performance, Accuracy and Generalization Capability of RFID Tags’ Constellation for Indoor Localization

Abstract

Indoor localization has recently witnessed an increase in interest due to its wide range of potential services. Further, the location information is very important in many applications, such as the Internet of Things, logistics, library management and so on. Hence, different technologies and techniques have been proposed in the literature for indoor localization systems. Most of these systems present the disadvantages of a poor performance, low accuracy and high cost. However, thanks to its low cost, high accuracy and non-line-of-sight detection, radio frequency identification (RFID)-based localization has increasingly become the most used technology for indoor localization. In this paper, we propose an innovative approach based on the multiple input single output (MISO) protocol to improve the accuracy of a low-cost RFID localization system. Whereas most traditional systems use a single tag for localization, the proposed architecture encourages the use of a group of RFID tags named as a constellation. According to experimental results and based on the signals’ diversity, the location accuracy is improved to get an estimated position error of 81 cm at the cumulative distribution function of 90%.

BIM and Computer Vision-Based Framework for Fire Emergency Evacuation Considering Local Safety Performance

“…As the foundation of indoor path planning in a fire scenario, indoor positioning refers to the process of understanding the position and orientation of people or objects in an indoor environment, determining the spatial relationship between evacuees and GNM. Since it is formidable to receive GNSS signals in an indoor environment [31], various technologies are applied to achieve indoor positioning, including radio frequency identification (RFID), Bluetooth, wireless LAN, and visible light, which require the deployment of related infrastructure [11][12][13][14]. In terms of indoor positioning integrated with BIM/IFC, Ma et al (2018) [32] applied the Wi-Fi and geomagnetic fingerprint matching positioning method and integrated it into the BIM construction quality management system to solve the problems of missed inspection and secondary data recording during construction acceptance.…”

“…However, these active indoor positioning techniques, which are relatively less reliable in a fire scenario, are relatively complex and expensive. The ability of BIM for providing rich prior information has been underutilized [ 12 , 13 , 14 ]. Furthermore, as for conducting indoor navigation, most of the existing research studies adopted global shortest path planning method, which is widely applied in normal indoor navigation, ignoring the safety performance of the generated rescue route [ 15 ].…”

Adaptive Indoor Localization System for Large-Scale Area

“…The system calculates the value of the incoming query, denoted as , and fingerprint using Equation (10) (10) where is RSSI of and is a predefined value for the algorithm.…”

Design and Analysis of UHF RFID Tag using MATLAB

“…Hatem, E. et al [8] presented an alternative analysis based on the Multiple Input Single Output (MISO) protocol to increase the precision of low-cost RFID localisation. Although most conventional systems use a single tag for translation, the architecture proposed promotes the use of a group of RFID tags called as a constellation.…”