Multi-Directional Weighted Interpolation for Wi-Fi Localisation
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The rise in popularity of unmanned autonomous vehicles (UAV) has created a need for accurate positioning systems. Due to the indoor limi- tations of the Global Positioning System (GPS), research has focused on other technologies which could be used in this landscape with Wi-Fi local- isation emerging as a popular option. When implementing such a system, it is necessary to find an equilibrium between the desired level of final pre- cision, and the time and money spent training the system. We propose Multi-Directional Weighted Interpolation (MDWI), a probabilistic-based weighting mechanism to predict unseen locations. Our results show that MDWI uses half the number of training points whilst increasing accuracy by up to 24%.
Robot Intelligence Technology and Applications 2: the 2nd International Conference on Robot Intelligence Technology and Applications Series: Advances in Intelligent Systems and Computing, Vol. 274
© 2014 Springer International Publishing. This is the author-manuscript version of this paper. Reproduced in accordance with the copyright policy of the publisher.The original publication is available at www.springerlink.com