Reducing positioning errors in the important access point selection method for fingerprint localization by spatial partitioning

Recently, as the interest of location based services has increased, research on indoor positioning technology has been actively conducted. In particular, methods on fingerprinting that is less affected by obstacles has become a promising approach. In this paper, we propose a method to reduce positioning errors in the important access point selection method for fingerprint localization by spatial partitioning.

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