Research on the fitting model of electromagnetic sensitivity of airborne system radiation

With the widespread application of avionics in complex electromagnetic environments, defining electromagnetic sensitivity boundaries has become a key issue in ensuring flight safety and equipment reliability. The current research faces three major challenges: inconsistent measurement of external interference field strength, significant differences in excitation probabilities between different field strengths, and missing frequency data that has not been measured. This article proposes an electromagnetic sensitivity boundary fitting method based on weight calculation and neural network to address these issues. This method calculates the interference field strength weight and maps the excitation probability, and uses neural networks to process the data to obtain the electromagnetic sensitivity boundary value. The experiment shows that this method effectively solves the existing technical difficulties, provides scientific basis for the electromagnetic compatibility design and optimization of airborne equipment, and significantly improves the anti-interference ability.