基于HTS输入匹配网络的灰狼优化低温c波段混合MMIC低噪声放大器

IF 1.7 3区物理与天体物理 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC

IEEE Transactions on Applied Superconductivity Pub Date : 2024-12-11 DOI:10.1109/TASC.2024.3514608

Hongliang Tian;Haiwen Liu;Zeren Song;Yulian Xu;Ruolin Wang;Shaofei Wang

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引用次数: 0

摘要

本文提出了一种低温4 - 8 ghz混合单片微波集成电路（MMIC）低噪声放大器（LNA），该放大器采用外部高温超导体（HTS）阻抗匹配网络（IMN）增强。它从参考InP MMIC LNA演变而来，用外部HTS IMN取代片上IMN，促进与超导电路单元的无缝集成。采用灰狼优化算法对IMN进行优化。与参考MMIC LNA相比，在测试过程中，混合MMIC LNA在77 K时的平均降噪约为5.2 K，在15 K时平均降噪约为1.9 K。这些结果使其成为超导体接收器中有希望应用的候选者。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Cryogenic C-Band Hybrid MMIC Low-Noise Amplifier Using HTS Input Matching Network Assisted by Gray Wolf Optimizer

In this article, a cryogenic 4–8-GHz hybrid monolithic microwave integrated circuit (MMIC) low-noise amplifier (LNA), enhanced with an external high-temperature superconductor (HTS) impedance matching network (IMN), is proposed. It evolves from a reference InP MMIC LNA by substituting the on-chip IMN with an external HTS IMN, facilitating seamless integration with superconductor circuit units. The Gray Wolf Optimization algorithm is utilized to optimize the IMN. Compared with the reference MMIC LNA, the hybrid MMIC LNA exhibits an average noise reduction of approximately 5.2 K at 77 K and 1.9 K at 15 K during testing. These results make it a promising candidate for applications in superconductor receivers.

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来源期刊

IEEE Transactions on Applied Superconductivity 工程技术-工程：电子与电气

CiteScore

3.50

自引率

33.30%

发文量

650

审稿时长

2.3 months

期刊介绍： IEEE Transactions on Applied Superconductivity (TAS) contains articles on the applications of superconductivity and other relevant technology. Electronic applications include analog and digital circuits employing thin films and active devices such as Josephson junctions. Large scale applications include magnets for power applications such as motors and generators, for magnetic resonance, for accelerators, and cable applications such as power transmission.