Enhanced Local Fisher Discriminant Analysis for Indoor Positioning in Wireless Local Area Network
نویسندگان
چکیده
منابع مشابه
Enhanced Local Fisher Discriminant Analysis for Indoor Positioning in Wireless Local Area Network
Feature extraction methods have been used to extract location features for indoor positioning in wireless local area networks. However, existing methods, such as linear discriminant analysis and principal component analysis, all suffer from the multimodal property of signal distribution. This paper proposes a novel method, based on enhanced local fisher discriminant analysis (LFDA). First, LFDA...
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ژورنال
عنوان ژورنال: Future Internet
سال: 2016
ISSN: 1999-5903
DOI: 10.3390/fi8020008