电子科技大学学报2025，Vol.54Issue(2)：197-202,6.DOI:10.12178/1001-0548.2023328
面向行波管放大器的多状态行为模型表征方法研究
Research on multi-state behavior model characterization method for traveling wave tube amplifiers
邹峰 1常宗煜 2胡欣 2王刚1
作者信息
- 1. 中国科学院空天信息创新研究院,北京 100190||中国科学院大学电子电气与通信工程学院,北京 100049
- 2. 北京邮电大学电子工程学院,北京 100876
- 折叠
摘要
Abstract
In recent years,artificial intelligence technologies represented by deep neural networks have been applied in the construction of behavioral models for power amplifiers.High precision nonlinear fitting can meet the requirements of characterizing the behavioral models of power amplifiers,but it is still only applicable to a single working state.With the in-depth study of the input-output characteristics of traveling-wave tube amplifier(TWTA),the output signal is affected by multiple factors such as the frequency of the input excitation signal and temperature changes.Therefore,it is urgent to study how to construct a multi-state behavior model for TWTA based on deep neural networks.This article proposes a multi-state neural network modeling method for TWTA.This method introduces embedded encoding vectors to characterize the various working states of TWTA,and innovatively constructs a multi-state behavior model by adding skip connections to avoid the problem of gradient vanishing.The experimental results show that compared with traditional methods,this method can construct multiple operating states that characterize TWTA without losing model accuracy as the model size increases.关键词
行为模型/行波管放大器/跳跃连接/嵌入向量Key words
behavioral model/traveling-wave tube amplifier(TWTA)/skip connection/embedding vector分类
电子信息工程引用本文复制引用
邹峰,常宗煜,胡欣,王刚..面向行波管放大器的多状态行为模型表征方法研究[J].电子科技大学学报,2025,54(2):197-202,6.
