一种基于神经网络驱动的巴伦优化工具开发与实践反思

Development of a Neural Network Driven Balun Optimization Tool and Reflections on Cultivation of Integrated Circuit Talent

射频电路中的巴伦设计强烈依赖于设计者的经验和直觉,并且需要大量的电磁仿真验证,导致设计效率低下。本文采用神经网络驱动的优化方法实现巴伦的自动设计,可显著提高设计效率,降低复杂度。通过开放源码和启发学生,可促进集成电路人才培养。

The design of Balun in RF circuits strongly relies on designer experience and intuition,and requires a large amount of electromagnetic simulation verification,resulting in low design efficiency.This article adopts a neural network-driven optimization method to achieve automatic design of Balun,which can significantly improve design efficiency and reduce complexity.Through open source and inspiring students,it can promote the cultivation of integrated circuit talents.