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591 results on '"Li, Shunli"'

26. Excitation of flatland surface-wave leakage on an equivalent reactance surface by a single-wire transmission line.

Author

Li, Shunli, Bao, Shuo, Xu, Zhixia, and Yin, Xiaoxing

Subjects
*ELECTRIC lines, *ELECTROMAGNETIC fields, *UNIT cell, *SURFACE impedance, *LEAKAGE, *SURFACE waves (Seismic waves)
Abstract

Recently, researchers have demonstrated, both theoretically and experimentally, that low-dimensional version of conventional leaky waves, known as "flatland leaky waves" (FLWs). FLWs can be supported by planar junctions of metasurfaces and are completely confined to a plane. Here, we design a structure that places an equivalent reactance surface near the transmission line to excite the FLWs. By properly designing the geometry of the unit cell, conditions can be created for faster surface waves (SWs) to excite slower SWs on the surface, resulting in the desired form of two-dimensional (2D) leaky-wave radiation. A sample was fabricated and measured, and both the simulation results and the experimental results yielded the desired results. Finally, we design the equivalent impedance surface model on which we can also observe the 2D FLWs. Our research not only deepens the understanding of the phenomenon of FLWs but also brings the application of equivalent reactance surfaces in the field of electromagnetic phenomena research to a higher level. [ABSTRACT FROM AUTHOR]

Published
2024
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34. Compact bilateral single conductor surface wave transmission line

Author

Xu, Zhixia, Li, Shunli, Zhao, Hongxin, Liu, Leilei, and Yin, Xiaoxing

Subjects
Physics - Applied Physics
Abstract

A compact bilateral single conductor surface wave transmission line (TL) is proposed, converting the quasi-transverse electromagnetic (QTEM) mode of low characteristic impedance slotline into the transverse magnetic (TM) mode of single-conductor TL. The propagation constant of the proposed TL is decided by geometric parameters of the periodic corrugated structure. Compared to conventional transitions between coplanar waveguide (CPW) and single-conductor TLs, such as Goubau line (G-Line) and surface plasmons TL, the proposed structure halves the size and this feature gives important potentials to develop integrated surface wave devices and circuits. The designed structure, sample fabrication and experimental verification are discussed.

Published
2017

49. Bandwidth Improvement for Patch Antenna via Knowledge-Based Deep Reinforcement Learning

Author

Su, Yue, Yin, Yifan, Li, Shunli, Zhao, Hongxin, and Yin, Xiaoxing

Abstract

In this letter, knowledge-based deep reinforcement learning (KBDRL) is used to improve patch antenna bandwidth. Conventional optimization algorithms usually require manual configuration of hyper-parameters of the algorithms, which cannot be learned automatically. In contrast, deep reinforcement learning (DRL) employs an end-to-end learning methodology that autonomously learns a policy to achieve optimal bandwidth. Additionally, it excels in efficiently handling nonlinear and nonconvex optimization problems. However, DRL consumes a lot of computing resources when there are many variables. To solve this problem, we propose a KBDRL approach that efficiently combines professional knowledge and machine learning methods. The proposed method is applied to a patch antenna with a size of 25 mm × 25 mm for which the obtained relative bandwidth is 39.18%. Our study shows that KBDRL has remarkable advantages compared to several commonly used local optimization algorithms, global optimization algorithms, and numerical optimization algorithms. Moreover, KBDRL can not only improve the performance of the antenna, but also explore the upper limitation of the performance with a finite-size basic structure.

Published
2024
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