Research on High Precision Indoor Positioning Method Based on Low Power Bluetooth Technology

Low Power Bluetooth has been widely used in a variety of electronic devices. In this paper, through theoretical analysis and simulation practice, the indoor positioning problem based on Bluetooth 4.0 technology is studied. Firstly, the application of EWKNN algorithm based on clustering threshold in indoor localization is studied. Meanwhile, a classification and regression model is constructed based on the SVM algorithm. Finally, the localization effect of the two algorithms is verified and compared by simulation in a complex environment with obstacles, which provides a relevant reference for the real area localization problem.