Deep Neural Networks for wireless localization in indoor and outdoor environments

In this paper, we propose a wireless positioning method based on Deep Learning. To deal with the variant and unpredictable wireless signals, the positioning is casted in a four-layer Deep Neural Network (DNN) structure pre-trained by Stacked Denoising Autoencoder (SDA) that is capable of learning re...

Full description

Saved in:

Bibliographic Details
Published in:	Neurocomputing (Amsterdam) Vol. 194; pp. 279 - 287
Main Authors:	Zhang, Wei, Liu, Kan, Zhang, Weidong, Zhang, Youmei, Gu, Jason
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 19.06.2016
Subjects:	Computational fluid dynamics Deep Learning Deep Neural Networks (DNNs) Hidden Markov model (HMM) Learning Localization Neural networks Outdoor Position (location) Stacked Denoising Autoencoder (SDA) Turbulence Wireless communication Wireless positioning Stacked Denoising Autoencoder (SDA) Hidden Markov model (HMM) Deep Neural Networks (DNNs) Deep Learning Wireless positioning
ISSN:	0925-2312, 1872-8286
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!