Updating method using mixture database in area estimation by finger printing

Author:

Tanaka Yuhi1,Aikawa Satoru1,Yamamoto Shinichiro1

Affiliation:

1. Graduate School of Engineering, University of Hyogo

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Subject

General Medicine

Reference4 articles.

1. [1] S. Fujita, K. Kaji, and N. Kawaguchi, “A wireless LAN location estimation method based on Gaussian mixture model,” JIP, vol. 52, no. 3, pp. 1069-1081, 2011.

2. [2] D. Taniuchi and T. Maekawa, “Robust indoor positioning method based on automatic update to Wi-Fi fingerprints,” JIP, vol. 55, no. 1, pp. 280-288, 2014.

3. [3] T. Matsui, S. Aikawa, and S.Yamamoto, “Fingerprint positioning method in inter-coordinate estimation using weighted average of existence probability distribution output of 3-layer NN,” IEICE Commun. Express, vol. 9, no. 7, pp. 318-323, 2020. DOI: 10.1587/comex.2020xbl0038

4. [4] Y. Tanaka, S. Aikawa, and S. Yamamoto, “Mixture database method in area estimation by finger printing,” ISAP2020, 2020.

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