4.7 Article

Finding Optimal Total Active Reflection Coefficient and Realized Gain for Multiport Lossy Antennas

期刊

IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION
卷 69, 期 5, 页码 2481-2493

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TAP.2020.3030941

关键词

Antenna theory; eigenvalues and eigenfunctions; electromagnetic modeling; method of moments; MIMO; optimization

资金

  1. Ministry of Education, Youth and Sports [LTAIN19047]
  2. Czech Science Foundation [19-06049S]
  3. Grant Agency of the Czech Technical University in Prague [SGS19/168/OHK3/3T/13]

向作者/读者索取更多资源

This study focuses on a numerically effective description of the total active reflection coefficient and realized gain for multiport antennas, taking into account material losses. The approach is based on operators represented in an entire-domain port-mode basis, with matrices of small dimensions. Optimal excitation and matching conditions are investigated, along with solving the combinatorial problem of optimal ports' placement and feeding synthesis. Numerical examples highlight the advantages of the proposed method, which can be easily implemented in existing electromagnetic simulators.
A numerically effective description of the total active reflection coefficient and realized gain is studied for multiport antennas. Material losses are fully considered. The description is based on operators represented in an entire-domain port-mode basis, i.e., on matrices with favorably small dimensions. Optimal performance is investigated, and the conditions on optimal excitation and matching are derived. The solution to the combinatorial problem of optimal ports' placement and optimal feeding synthesis is also accomplished. Four examples of various complexities are numerically studied, demonstrating the advantages of the proposed method. The final formulas can easily be implemented in existing electromagnetic simulators using an integral equation solver.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据