A Localization and Tracking Algorithm for Rail Trains Based on 5G Communication Technology
Real-time,accurate localization and tracking is one of the key technologies in the train operation control system.The 5G communication working in millimeter wave band has the advantages of multi-antenna combination in small space and sub-me-ter level localization accuracy,which has become one of the main development directions of rail train positioning technology.In this paper,a 5G localization method using compressed sensing is proposed by exploiting the property that millimeter wave chan-nels are approximately sparse in different domains.This method estimates the arrival time and arrival angle of the line-of-sight path of 5G signals through compressed sensing.These estimation results are combined with a nonlinear filtering algorithm based on the extended Kalman filter as measurements to achieve accurate tracking of train positions.The train scene simulation experiment results show that the positioning error of the proposed algorithm is less than 3 m and the tracking speed error is less than 2 m/s.