A Data Augmentation-Based Method for Robust Device-Free Localization in Changing Environments of Passive Radio Frequency Identification System

Device-free localization (DFL) is playing a critical role in many applications which do not require any device attached to the target. Because of environmental changes, the fingerprint database established in the original environments is unable to remain effective when used in the changing environme...

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Vydáno v:	IEEE transactions on instrumentation and measurement Ročník 70; s. 1 - 13
Hlavní autoři:	Ma, Yongtao, Ning, Wanru, Wang, Bobo, Liang, Xiuyan
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York IEEE 2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Antenna measurements Artificial neural networks Changing environments Convolutional neural network (CNN) Data augmentation denoising autoencoder (DAE) device-free localization (DFL) environmental changes Feature extraction Fingerprint recognition Fingerprints Identification systems Localization Location awareness Noise reduction Pollution measurement Position measurement Radio frequency Radio frequency identification Resampling Signal to noise ratio ultrahigh-frequency radio frequency identification (RFID) system
ISSN:	0018-9456, 1557-9662
On-line přístup:	Získat plný text
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