A Fast and Resource Efficient Method for Indoor Positioning Using Received Signal Strength.

Zheng Wu, Kechang Fu,Esrafil Jedari, Shaeera Rabbanee Shuvra,Rashid Rashidzadeh,Mehrdad Saif

IEEE Transactions on Vehicular Technology（2016）

引用 43|浏览3

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摘要

This paper proposes an indoor localization method using online independent support vector machine (OISVM) classification method and undersampling techniques. The system is based on the received signal strength indicator (RSSI) of Wi-Fi signals. A new undersampling algorithm is developed to address the imbalanced data problem associated with the OISVM, and a kernel function parameter selection algo...

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关键词

Support vector machines,Training,Wireless LAN,Prediction algorithms,Estimation,Training data,Received signal strength indicator

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