A Weighted Quadrangle Positioning Algorithm Using Automatic Distance Correction for Optimizing Indoor Positioning Accuracy

This paper adopts a weighted quadrangle positioning algorithm to achieve low cost, high accuracy and stable data transmission in indoor environment by utilizing FM radio signal and LTE-MTC technology. The weights from the center point to each indoor station are updated using the experimental linear program mode algorithm, and the distance between the target and the receiving station is corrected by dynamic weight values. The location of target position is calculated by combining the trigonometric positioning algorithm and the centroid algorithm. Compared with traditional positioning algorithms, this algorithm is more accurate and less interfered by combining distance automatic correction method and linear programming model. The experimental results show that the accuracy is improved by 6.207 and 4.1 times, respectively, compared with the FM-based triangulation positioning approach and FM-based weight triangulation approach. It not only improves the accuracy of indoor positioning, but also greatly reduces data transmission delay and energy consumption by the utilization of LTE-MTC technology. This technology can solve the localization problem of robots in intelligent factory and improve the cooperation ability between robots.