Deep Convolutional Neural Network for Passive RFID Tag Localization Via Joint RSSI and PDOA Fingerprint Features

Deep Convolutional Neural Network for Passive RFID Tag Localization Via Joint RSSI and PDOA Fingerprint Features

Radio-frequency identification (RFID) localization has drawn much attention with the emergence of the Internet of Things (IoT). Deep learning with applications to RFID localization owns a lot of advantages. In this paper, we present a deep convolutional neural network (CNN)-based approach for passiv...

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Bibliographic Details
Main Authors: Chao Peng, Hong Jiang, Liangdong Qu
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Radio-frequency identification
indoor localization
convolutional neural network
fingerprint feature
phase difference of arrival
Online Access:https://ieeexplore.ieee.org/document/9328253/

Internet

https://ieeexplore.ieee.org/document/9328253/

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