Indoor Positioning System Based on Support Vector Machine

In this paper, we propose a two-point light source location technology using a support vector machine (SVM). Here, the transmitter uses a field-programmable gate array to generate position information, encode and load it into the driving circuit of the corresponding light-emitting diode (LED) and the image sensor at the receiver captures two LED images. In the actual positioning, the movement of the positioning point changes the received light power, which affects the exposure degree and time, thereby causing inaccurate extraction of the fringe features. Therefore, our method selects column pixels since SVM is used to realize the classification and accurate recognition of LED and the actual position of the target is obtained using the three-dimensional imaging positioning algorithm of visible light. Finally, we obtained a positioning accuracy of 1-2 cm in the spatial range of 30 cm x 30 cm x 50 cm.