Rfid Indoor Positioning System Based on Rssi and Intelligent Optimization Algorithm

Le résumé fourni par la source

With the development of information technology, the market's demand for precise indoor positioning is increasing. Radio frequency identification (RFID) has always been paid extensive attention from researchers in the field of indoor positioning, but the problem of difficulty in balancing system cost and positioning accuracy commonly appears in many existing RFID positioning systems. In this study, an RFID indoor positioning system based on received signal strength indicator (RSSI) and intelligent optimization algorithm is developed, including hardware selection for data acquisition and software development fusing neural network and unscented Kalman filter (UKF). Experiments in actual environment are conducted and results show that the proposed system is feasible, and achieves great positioning accuracy and robustness, showing a promised application prospect.

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