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Kernel Fisher Discriminant Analysis for Indoor Localization
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 Title & Authors
Kernel Fisher Discriminant Analysis for Indoor Localization
Ngo, Nhan V.T.; Park, Kyung Yong; Kim, Jeong G.;
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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.
localization;fingerprinting;Kernel Fisher Discriminant Analysis;particle filter;radio map;
 Cited by
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