Design And Implementation Of Field Uniformity Simulation System Of Reverberation Room Based On Intelligent Optimization Algorithm

With the advent of the 5G era and the widespread use of electronic communication equipment,the electromagnetic environment has become more and more complex.As a venue for electromagnetic compatibility testing,the reverberation room is particularly important.As far as the actual construction of the reverberation room is concerned,most of the simulation design and commissioning is carried out based on the experience of engineers and technicians,but it is still difficult to find the best parameters in a short time.The field uniformity simulation system of the reverberation room based on the intelligent optimization algorithm can solve these problems.It can simulate and optimize the pre-built reverberation room to achieve the minimum field uniformity standard deviation within the design requirements.It also reduces the actual construction time and the worked during the evaluation.The system is implemented using Python.The reverberation room is built using Lua.The FEKO software is used to simulate.Finally,an improved genetic particle swarm algorithm for optimization is added in the system.The paper researches the construction of the reverberation room model,the design of intelligent optimization algorithms,and the improvement of simulation speed.The specific contents are as follows:First of all,in terms of the reverberation room model,a general model is designed for the phenomenon that a model can only optimize one parameter.The model is implemented using Lua,which can optimize multiple parameters,such as the position of the agitator,the angle of the blade,the position and angle of the transmitting antenna,etc.It can increase the possibility of finding the optimal value.Secondly,in terms of intelligent optimization algorithms,the improved genetic algorithm and particle swarm algorithm are combined.In the early stage of the algorithm,the improved genetic algorithm is used to find the optimal solution range globally,and the optimal solution area is locked.This area is used as the initial area of the particle swarm algorithm,and the optimal solution can be found faster and more accurately near the area.The improved genetic particle swarm algorithm is better and faster through experiments to verify.Finally,because of the current slower simulation speed,a distributed simulation structure is proposed.The simulation calculation task is decomposed and distributed to multiple computers to implement the distributed simulation calculation model.It can greatly improve the speed of simulation and optimization of the reverberation room and get the optimization results faster.The experimental results show that the field uniformity simulation system of the reverberation room that is designed in this paper accelerate the speed of the simulation and optimization.It provides more possibilities to find the minimum field standard deviation,and provides a powerful reference for the actual construction of reverberation room.