Satellite Antenna Layout And Electromagnetic Compatibility Prediction Research

The satellite is equipped with a lot of complex electronic systems,including high power radiating systems and high sensitivity receiving systems,and the electromagnetic environment is very complex.In order to make electronic systems on the satellite do not have EMC prblems,it is necessary to carry out the EMC simulation and prediction on the early stage of the satellite design.Firstly,some computational electromagnetic methods for EMC analysis are briefly introduced,then antennation is paid on the shooting and bouncing ray(SBR)method,and a program of SBR is developed with Python.Savant is a commercial electromagnetic simulation software based on the SBR method,which can predict the performance of antennas in their intended installation environment.In this paper,a new method of antenna layout optimization on the electrically large carrier is proposed,that is,based on Python and Savant co simulation,optimization algorithm is used to search ideal antenna layout optimization scheme.This method can provide a reasonable reference for antenna layout in the early stage of the satellite design.This method takes advantage of Savant which support fast EMC simulation of antennas on the electrically large carrier,and uses optimization algorithm to replace blind tests,and a Python program is written to realize the automation of antenna layout optimization simulation on the satellite.There always exists a neural network that can approximate any arbitrary nonlinear continuous multidimensional function to any desired accuracy.Several simple EMC problems,such as mutual couling between antennas,are modeled and predicted using neural networks built on TensorFlow framework.These examples show that the neural network can be used for EMC prediction?At last,based on the above research,a satellite antenna EMC simulation and prediction software is developed with Python.