Monte carlo‐based indoor rfid positioning with dual‐antenna joint rectification

Autor: Lujie Wu, Johan Sidén, Gang Wang, Yonghui Tao
Jazyk: angličtina
Rok vydání: 2021
Předmět:
TK7800-8360
Indoor positioning
Computer Networks and Communications
Computer science
Monte Carlo method
02 engineering and technology
Electrical Engineering
Electronic Engineering
Information Engineering

01 natural sciences
antenna
Footprint
Rectification
Ultra‐high frequency
Hardware_GENERAL
0202 electrical engineering
electronic engineering
information engineering

Electronic engineering
Computer Science::Networking and Internet Architecture
Radio-frequency identification
radio-frequency identification
ComputerSystemsOrganization_SPECIAL-PURPOSEANDAPPLICATION-BASEDSYSTEMS
Electrical and Electronic Engineering
Elektroteknik och elektronik
Monte Carlo
Accuracy
Computer Science::Information Theory
accuracy
business.industry
020208 electrical & electronic engineering
010401 analytical chemistry
indoor positioning
ultra-high frequency
0104 chemical sciences
Identification (information)
Ultra high frequency
Hardware and Architecture
Control and Systems Engineering
Antenna
Signal Processing
Radio‐frequency identification
Antenna (radio)
Electronics
business
Communication channel
Zdroj: Electronics
Volume 10
Issue 13
Electronics, Vol 10, Iss 1548, p 1548 (2021)
Popis: 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.
Databáze: OpenAIRE