Kernel Fisher Discriminant Analysis for Indoor Localization
Journal: International Journal of Advanced Smart Convergence(IJASC) (Vol.4, No. 2)Publication Date: 2015-11-30
Authors : Nhan V. T. Ngo; Kyung Yong Park; Jeong G. Kim;
Page : 177-185
Keywords : localization; fingerprinting; Kernel Fisher Discriminant Analysis; particle filter; radio map.;
Abstract
In this paper we introduce Kernel Fisher Discriminant Analysis (KFDA) to transform our database of received signal strength (RSS) measurements into a smaller dimension space to maximize the difference between reference points (RP) as possible. By KFDA, we can efficiently utilize RSS data than other method so that we can achieve a better performance.
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