Indoor location method of interference source based on deep learning of spectrum fingerprint features in Smart Cyber-Physical systems

Indoor location method of interference source based on deep learning of spectrum fingerprint features in Smart Cyber-Physical systems

Abstract The intensity acquisition and fluctuation of the signal intensity of the interference source caused by the indoor multipath effect are very great, and there is a problem that the best eigenvalue is difficult to choose. A kind of unsupervised machine learning algorithm is proposed, which can...

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Bibliographic Details
Main Authors: Yunfei Chen, Taihang Du, Chundong Jiang, Shuguang Sun
Format: Article
Language:English
Published: SpringerOpen 2019-02-01
Series:EURASIP Journal on Wireless Communications and Networking
Subjects:
Indoor positioning
Deep learning
Denoising auto-encoder (DAE)
Kernelized principle component analysis (KPCA)
Smart Cyber-Physical systems
Spectrometer receiver
Online Access:http://link.springer.com/article/10.1186/s13638-019-1363-y

Internet

http://link.springer.com/article/10.1186/s13638-019-1363-y

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