Two phase combined model to improve the accuracy of indoor location fingerprinting
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Wi-Fi Fingerprinting based Indoor Positioning System (IPS) aims to help locate and navigate users inside buildings. It has become a popular research topic in recent years with two goals of removing redundant data and increasing positioning accuracy and it has produced acceptable results. In this paper, we propose a feature reduction method and apply a machine learning model that combines two-phases.
Nội dung trích xuất từ tài liệu:
Two phase combined model to improve the accuracy of indoor location fingerprinting
Nội dung trích xuất từ tài liệu:
Two phase combined model to improve the accuracy of indoor location fingerprinting
Tìm kiếm theo từ khóa liên quan:
Computer science and cybernetics Wi-Fi finger Printing Received signal strength-RSS Indoor positioning system Machine learningGợi ý tài liệu liên quan:
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