基于机器学习算法的双端口贴片天线超表面吸收器建模

IF 2.5 4区工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC

Journal of Computational Electronics Pub Date : 2025-08-14 DOI:10.1007/s10825-025-02399-y

Neha K. Saini, Anand Vardhan Bhalla, Ashish Bagwari, Ravitesh Mishra, Ch. Anil Kumar

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引用次数: 0

摘要

本文设计并研究了一种集成超表面吸收器的双端口微带天线。双端口天线下方的MS位置吸收归一化电磁波，并将增益水平提高到3.0 dBi以上。交叉槽的加载在837和889 MHz之间产生圆极化特征。贴片上插槽的反向方向可以提高25db的分离度。仿真、实验和ML预测都证实了所设计的天线工作在715 ~ 977 MHz之间。宽边远场方向图和良好的MIMO参数值使所提出的天线适用于超高频RFID应用。

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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Modelling of a two-port patch antenna with metasurface absorber using machine learning algorithms

A two-port microstrip antenna integrated with a metasurface (MS) absorber is designed and examined in this paper. MS placement below the 2-port antenna absorbs the normalized EM waves as well as improves the gain level to above 3.0 dBi. Loading of cross slots produces circular polarization features between 837 and 889 MHz. Reverse orientation of the slots on the patch enhances the separation by 25 dB. Simulated, experimental, and ML prediction confirm that the designed antenna works between 715 and 977 MHz. A Bbroadsided far-field pattern and good values of the MIMO parameters make the proposed antenna applicable for UHF RFID applications.

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来源期刊

Journal of Computational Electronics ENGINEERING, ELECTRICAL & ELECTRONIC-PHYSICS, APPLIED

CiteScore

4.50

自引率

4.80%

发文量

142

审稿时长

>12 weeks

期刊介绍： he Journal of Computational Electronics brings together research on all aspects of modeling and simulation of modern electronics. This includes optical, electronic, mechanical, and quantum mechanical aspects, as well as research on the underlying mathematical algorithms and computational details. The related areas of energy conversion/storage and of molecular and biological systems, in which the thrust is on the charge transport, electronic, mechanical, and optical properties, are also covered. In particular, we encourage manuscripts dealing with device simulation; with optical and optoelectronic systems and photonics; with energy storage (e.g. batteries, fuel cells) and harvesting (e.g. photovoltaic), with simulation of circuits, VLSI layout, logic and architecture (based on, for example, CMOS devices, quantum-cellular automata, QBITs, or single-electron transistors); with electromagnetic simulations (such as microwave electronics and components); or with molecular and biological systems. However, in all these cases, the submitted manuscripts should explicitly address the electronic properties of the relevant systems, materials, or devices and/or present novel contributions to the physical models, computational strategies, or numerical algorithms.