一种紧凑的三开槽矩形微带贴片天线，具有超材料接地，用于Sub-6 GHz/5G通信

2020 Fifth International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN) Pub Date : 2020-11-26 DOI:10.1109/ICRCICN50933.2020.9296184

M. Vinoth, R. Vallikannu

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引用次数: 1

摘要

本文提出了不同的RMPA架构，以实现5G通信中工作在6ghz以下的天线。天线设计是逐步优化的，以实现紧凑的高性能天线。初步提出了一种工作频率为3.13 GHz的基本矩形贴片天线(RPA)结构。通过添加超材料(MTM)地基对初始结构进行了检测和优化。采用MTM接地的改进RPA在3.27 GHz、3.78 GHz和3.92 GHz处表现出谐振特性。通过在天线贴片的右上边缘增加三个槽，对RPA结构进行再次调谐，最终实现了MTM接地的三槽矩形微带贴片天线(TSRMPA)。在不改变天线尺寸的前提下，通过改变天线的结构，将天线调谐到6ghz以下。采用MTM接地的TSRMPA谐振频率为3.5 GHz，回波损耗性能为-30.77 dB，增益为5 dB。带MTM接地的紧凑型TSRMPA尺寸为30.2 x 36.4 mm2。利用高频结构模拟器(HFSS)软件对这些天线进行了研究。最后，仿真结果与实验结果吻合良好，验证了所提天线设计的有效性。

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A compact triple slotted Rectangular Microstrip Patch Antenna with Metamaterial ground for Sub-6 GHz/5G communication

Different RMPA architectures are proposed in this paper to realize an antenna to operate in sub-6 GHz for 5G communications. The antenna design is optimized in steps to achieve a compact antenna with high performance. A basic Rectangular Patch Antenna (RPA) structure is initially presented, which operates in 3.13 GHz. The initial structure is examined and optimized by adding a Metamaterial (MTM) ground. The modified RPA with MTM ground exhibits resonance at 3.27 GHz, 3.78 GHz and 3.92 GHz. RPA structure is again tuned by adding three slots at top right edge of antenna patch and a Triple Slotted Rectangular Microstrip Patch Antenna (TSRMPA) with MTM ground is finally realized. The presented antenna is tuned to operate at sub-6 GHz by modifying the structure without altering the dimension. The TSRMPA with MTM ground resonates at 3.5 GHz with good return loss performance of -30.77 dB and gain of 5 dB. The dimension of compact TSRMPA with MTM ground is 30.2 x 36.4 mm2. These antennas are investigated using High Frequency Structural Simulator (HFSS) software. Finally, good concurrence between simulated and tested result is presented to prove the functioning of proposed antenna design.

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来源期刊

2020 Fifth International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN)

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