Multivariate Polynomial Interpolation Based Indoor Fingerprinting Localization Using Bluetooth

Abstract

Comparing with mature outdoor positioning technology, the demand for indoor positioning is also becoming increasingly extensive. Fingerprinting-based localization using Bluetooth is a promising method for indoor localization. The localization accuracy mainly depends on the quality of fingerprints database, and we have to collect a larger number of training sites in order to achieve finer-grained positioning. However, the site survey for constructing a fine-grained fingerprints database is very time consuming and labor intensive. In order to improve localization accuracy under the condition of without additional fingerprints, we use multivariate polynomial function to construct the fine-grained interpolated fingerprints database derived from the coarse-grained collected fingerprints. Extensive simulation results verify that the proposed multivariate polynomial function interpolation based fingerprinting localization method can improve localization accuracy effectively.