RFID Hybrid Positioning Method of Phased Array Antenna Based on Neural Network | Zendy

Junxuan Wang | Zendy; Wei Wei | Zendy; Weizhu Wang | Zendy; Ruixin Li | Zendy

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RFID Hybrid Positioning Method of Phased Array Antenna Based on Neural Network

Author(s) -

Junxuan Wang,

Wei Wei,

Weizhu Wang,

Ruixin Li

Publication year - 2018

Publication title -

ieee access

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.587

H-Index - 127

ISSN - 2169-3536

DOI - 10.1109/access.2018.2877396

Subject(s) - aerospace , bioengineering , communication, networking and broadcast technologies , components, circuits, devices and systems , computing and processing , engineered materials, dielectrics and plasmas , engineering profession , fields, waves and electromagnetics , general topics for engineers , geoscience , nuclear engineering , photonics and electrooptics , power, energy and industry applications , robotics and control systems , signal processing and analysis , transportation

This paper presents a new type of radio frequency identification positioning method. This method uses a hybrid positioning method combining signal angle of arrival and RSSI (signal strength value positioning). First, the phased array antenna is used to measure the azimuth angle of the target tag, and then, the reader is read to read the signal strength of the target tag. After using the neural network model to fit the curve of signal strength and distance, when the signal strength is converted into a distance by the curve relationship, the positioning function of the target tag is realized. Experimental results show that compared with traditional positioning algorithms, not only the positioning accuracy is improved but also the working range is increased and the system anti-jamming capability is improved.

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