Rapid FSS Design Method Based on Fourier Transform

This article presents a rapid frequency selective surface (FSS) design method based on Fourier transform. The method aims to overcome the complexity and reduce the time consumption associated with the massive input simulation datasets in traditional design processes, providing an efficient and automated design solution. By introducing Fourier transform, the amount of simulation datasets can be significantly simplified, enhancing the speed and accuracy of neural network training. The method improves precision and speed in handling tasks with multiple parameters, offering an effective tool for fast FSS design. With the aid of neural network construction, users only need to input the desired simulation result curve, and the neural network model will quickly output optimal FSS structure parameters. This approach ensures design accuracy and stability while greatly increasing the efficiency of FSS design.