Application of Improved Kalman Filter in Under-Ground Positioning System of Coal Mine

In order to improve the accuracy and anti-interference of underground environment positioning, a coal mine underground ultra wideband based positioning system is designed. Aiming at the problems of large accidental errors and poor robustness in traditional UWB positioning, the extended Kalman filter algorithm is added to improve the accuracy of the positioning system. Aiming at the problems of large accidental errors and poor robustness in traditional UWB positioning, the extended Kalman filter algorithm is added to improve the accuracy of the positioning system. The experimental results show that the Kalman filter can improve the positioning accuracy and reduce the system accidental error.