Tunnel Vehicle RSSI Positioning Algorithm Based on LMLF Model

Tunnel positioning of vehicles usually has large errors and disturbances. In this paper, the tunnel electromagnetic wave propagation model is analyzed. Based on this, an RSSI positioning algorithm based on LMLF(Linear Modified Log Function) model is proposed. The constraint factor in this algorithm can reduce the positioning error of the fitting curve, and Gaussian-median filtering technology enhances the Robustness of ranging. Experiments show that the RSSI positioning algorithm based on LMLF greatly improves the accuracy and anti-interference ability of RSSI positioning.