Dimensionality reduction of radio map with nonlinear autoencoder

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Presented is a nonlinear autoencoder, which reduces the dimensionality of a radio map, and consequently contributes to the reduction of the power consumption of client devices in a fingerprint-based indoor localisation. The nonlinear encoder shows significantly better performance in reducing the dimensionality than principal component analysis, a representative linear technique, did.
Publisher
INST ENGINEERING TECHNOLOGY-IET
Issue Date
2012-05
Language
English
Article Type
Article
Citation

ELECTRONICS LETTERS, v.48, no.11, pp.655 - 657

ISSN
0013-5194
DOI
10.1049/el.2011.4039
URI
http://hdl.handle.net/10203/102315
Appears in Collection
CS-Journal Papers(저널논문)
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