An Enhanced Electromagnetic Properties Calibration Algorithm for RT-Based Electromagnetic Environment Reconstruction

With the full automation transformation of the railway industry and its close connection to the goals of high data rate, high reliability, and ultra-low latency communication, the demand for wireless communication technology in railway communication is increasing, especially in terms of accuracy in electromagnetic environment reconstruction. The accuracy of ray tracing (RT)-based electromagnetic environment reconstruction depends on the accuracy of electromagnetic (EM)) properties. Therefore, we propose an enhanced algorithm, which combines the advantages of logistic chaotic (LC) algorithm and simulated annealing (SA) algorithm. The proposed algorithm first utilizes the traversal property of LC algorithm for global search, and then uses SA algorithm for fine search for optimal solution. We validate the accuracy and applicability of algorithm in railway scenario by comparing the measurement results with the simulation results based on RT. After calibration, it will reduce the root mean square error between the measured parameters and the parameters of RT, and quickly converge to the minimum value.