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Journals / Istanbul University Journal of Electrical and Electronics Engineering / 2016 / Cilt: 16 - Sayı: 2

Broadband Matching via Reflection Coefficient Modeling

Metin ŞENGÜL
Pages
3043–3047
Publication Date
2022-10-18
DOI
—
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

An example is presented to explain the usage ofthe new method.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:In this paper, practical method is presented to design broadband matching networks via reflection coefl‘icient modeling.
📊
Key Findings & Data:In the proposed algorithm, reflection function values p2 at sample frequencies are optimized to get the desired gain level.
💡
Conclusion & Impact:An example is presented to explain the usage ofthe new method.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

In this paper, practical method is presented to design broadband matching networks via reflection coefl‘icient modeling. In the proposed algorithm, reflection function values p2 at sample frequencies are optimized to get the desired gain level. At the same time, the corresponding reflection coeflicient values (S2) are calculated and modeled. Then matching network topology and element values are obtained via the formed reflection coefi’icient expression. An example is presented to explain the usage ofthe new method.

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Cite This Article

ŞENGÜL, M. (2022). Broadband Matching via Reflection Coefficient Modeling. Istanbul University Journal of Electrical and Electronics Engineering, Cilt: 16 - Sayı: 2, 3043–3047. https://ajindex.com/articles/543624

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