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

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.

Abstract licence: CC BY-NC-ND

40 more references, whose wording the paper’s licence keeps private.

A person counts once a day per paper. We keep no cookie and no address: a reader is a hash that changes every day. Any month under five reads shows no number.