The Influence of the Limit Number on the Ray Tracing Models

The ray tracing model is impacted by many reflections in indoor scenarios, in addition to diffractions and transmissions, because of the intricacy of the propagation scenario. After multiple reflections, transmissions, or diffractions, the energy of the rays has been greatly diminished, and their contribution to the final field strength synthesis is negligible. To solve this problem, the limit number can be adjusted according to the different complexities of the scenario. From the perspective of prediction accuracy in practical applications, electric parameters of the object have a great influence on the simulation calculation, and the optimization method of electromagnetic parameters based on grid search method will be used to obtain the best electric parameters. In this paper, the power values at 1.2GHz and 3.7GHz are measured in a classroom scenario and the corresponding indoor scenario are established. The simulation results after optimizing the electric parameters and adjusting the limit number are compared. The minimum standard error between measurement and simulation is less than 6.5dB, and the average error is less than 1. The results show that when dealing with complex indoor scenarios, optimizing the electric parameters can improve the accuracy, and effectively adjusting the limit number not only makes more ray combinations and prevents the loss of effective paths, but also reduces the unnecessary calculations and improves the computational efficiency. Data such as signal coverage strength and multipath propagation in complex electromagnetic scenarios are calculated, which can provide guidance for indoor base station optimization.