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Dimensionality reduction of radio map with nonlinear autoencoder

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2 Author(s)
Lee, M.K. ; Dept. of Comput. Sci., Korea Adv. Inst. of Sci. & Technol., Daejeon, South Korea ; Han, D.S.

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.

Published in:

Electronics Letters  (Volume:48 ,  Issue: 11 )