Abstract
A novel Monte Carlo-based indoor radio-frequency identification (RFID) positioning scheme is proposed for dual-antenna RFID systems with the cooperation of dual-antenna joint rectification. By deploying reference passive RFID tags on the ground to establish an RFID tag-based map, indoor self-positioning of a moving platform carrying an RFID reader with two forward-looking antennas can be simply implemented by looking up the positions of responded RFID tags at each time step of movement, and estimating the platform position by using the proposed Monte Carlo-based algorithm. To improve the positioning accuracy of Monte Carlo-based positioning, each antenna channel, with its own footprint on the ground, may rectify its position estimation by using the tag position information interrogated by the other antenna channel. The algorithm for dual-antenna rectification is proposed. The performance of the proposed Monte Carlo-based self-positioning scheme is demonstrated by both simulation and experiment tests. Some factors in a practical indoor-positioning system, such as the reference tag distribution pattern, reader antenna footprint size, and footprint overlap, are discussed. Some guide rules for deploying the RFID indoor-positioning system are also reported.
Highlights
Nowadays, indoor localization technology has been widely used in customer navigation in shopping malls, warehouse management, object localization and tracking in airports, etc
By adjusting the height and tilt angles of the two reader antennas in Figure 9, the two footprints on the floor can overlap on the floor, which gives a single footprint of a radius of 90 cm
For moving platforms carrying an Radio Frequency Identification (RFID) system with two antennas, a novel RFIDbased indoor self-positioning scheme is proposed by using a Monte Carlo-based positioning algorithm with the cooperation of dual-antenna rectification
Summary
Indoor localization technology has been widely used in customer navigation in shopping malls, warehouse management, object localization and tracking in airports, etc. Based on prevailing wireless communication technology, including WiFi, Bluetooth, UWB, Radio Frequency Identification (RFID) Device, visible light communication, etc., several wireless position techniques have been proposed for indoor applications. In [1], an indoor wireless positioning scheme has been proposed based on WiFi fingerprints. In [2], a multimodal approach is proposed to enhance indoor localization with camera and WiFi signals. The positioning error can be controlled in 0.2 m, under the case of enough WiFi access points and cameras. In [3], a fingerprinting localization algorithm with fuzzy logic type-2 using Bluetooth Low Energy (BLE) beacons is proposed. In [4], a localization scheme using Visible Light Communication (VLC) is proposed, which achieves a positioning accuracy within 1–2 cm. The limitation is that there must be a line-of-sight transmission path between the LED and the sensor
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