低温E波段放大器噪声建模理论与技术研究
Research on noise modeling of low temperature E-band amplifier
李云龙 1聂通 1陈鹏 1李韵 2羊恺1
作者信息
- 1. 电子科技大学航空航天学院,成都 611731
- 2. 西安空间无线电技术研究所空间微波技术重点实验室,西安 710100
- 折叠
摘要
本文建立了一个低温条件下的E波段多参数提取平台,对其中关键器件密封窗、真空杜瓦和波导—同轴转换结构进行了详细设计描述,实际测试表明该平台可以在低温条件下对低噪声放大器的E波段参数进行提取.与其他测试平台相比,该测试平台可在可变恒定低温下对微波器件进行多参数的提取,并且通过研制TRL校准组件,去除了波导-同轴转换结构带来的影响,保证了参数提取的准确性.此外,由于测试平台只能测得有限采样点数据,使用神经网络模型预测了未测量的E波段参数,以更好地评估低温下低噪声放大器的性能.
Abstract
In this paper,an E-band multi-parameter extraction platform was established under low temperature condi-tions,and the key components of the sealed window,vacuum dewar and waveguide to coaxial conversion structure were described in detail.The actual test shows that the platform can extract the E-band parameters of low noise amplifiers under low tempera-ture conditions.Compared with other test platforms,this test platform can extract multiple parameters of microwave devices at variable and constant low temperature,and by developing TRL calibration components,the influence of waveguide-coaxial con-version structure is eliminated,and the accuracy of parameter extraction is ensured.In addition,since the test platform can only measure limited sampling point data,the unmeasured E-band parameters are predicted using the neural network model to better evaluate the performance of the low noise amplifier at low temperatures.
关键词
低温接收机/低噪声放大器/神经网络/模型Key words
Cryogenic receiver/Low noise amplifiers/Neural network/Models引用本文复制引用
基金项目
重庆市自然科学基金(CSTB2022NSCQ-MSX1521)
空间微波技术重点实验室基金(6142411552214)
出版年
2024
NETL
NSTL
万方数据