matching network
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2022 ◽  
Author(s):  
Jerry Jing

<p>this article is aimed to design two impedances matching network to let the source degeneration and common gate amplifier to achieve the ideal characteristic. In the source degeneration case as the resistance is so small, so we just use down converting matching network. As the source degeneration gives us a high resistance , we just match with a up converting network.<b></b></p><p> </p>


2022 ◽  
Author(s):  
Jerry Jing

<p>this article is aimed to design two impedances matching network to let the source degeneration and common gate amplifier to achieve the ideal characteristic. In the source degeneration case as the resistance is so small, so we just use down converting matching network. As the source degeneration gives us a high resistance , we just match with a up converting network.<b></b></p><p> </p>


Author(s):  
Jiamao Gao ◽  
Shimin Yu ◽  
Hao Wu ◽  
Yu Wang ◽  
Zhijiang Wang ◽  
...  

Abstract Matching networks are of vital importance for capacitively coupled plasmas to maximize the power transferred to the plasma discharge. The nonlinear interaction between the external circuit and plasma has to be considered to design suitable matching networks. To study the effect of the matching circuit, we coupled PIC/MC model and nonlinear circuit equations based on Kirchhoff’s laws, in a fully nonlinear and self-consistent way. The single-frequency capacitively coupled discharge with ”L”-Type matching networks are simulated. Fully self-consistently results of circuit and plasma parameters are presented and then power absorbed by the plasma and efficiency are calculated. With the tune of the matching network, the efficiency can reach 28.7 %, leading to higher potential as well as higher electron density at fixed source voltage. Besides, only very small components of the third harmonics are found in the plasma voltage and current while surface charge densities have multiple harmonics on account of the strong plasma nonlinearity. Finally, the effects of matching capacitors on discharge are analyzed, results show that smaller Cm1 and Cm2 of 500 pF to 1000 pF may be a proper choice for better matching, resulting in higher voltage across the CCP, and thus higher electron density and power absorption efficiency are obtained.


Electronics ◽  
2022 ◽  
Vol 11 (1) ◽  
pp. 144
Author(s):  
Xiaopan Chen ◽  
Yongle Wu ◽  
Weimin Wang

This study presents a dual-band power amplifier (PA) with two output ports using a simplified three-port, frequency-dividing matching network. The dual-band, dual-output PA could amplify a dual-band signal with one transistor, and the diplexer-like output matching network (OMN) divided the two bands into different output ports. A structure consisting of a λ/4 open stub and a λ/4 transmission line was applied to restrain undesired signals, which made each branch equivalent to an open circuit at another frequency. A three-stub design reduced the complexity of the OMN. Second-order harmonic impedances were tuned for better efficiency. The PA was designed with a 10-W gallium nitride high electron mobility transistor (GaN HEMT). It achieved a drain efficiency (DE) of 55.84% and 53.77%, with the corresponding output power of 40.22 and 40.77 dBm at 3.5 and 5.0 GHz, respectively. The 40%-DE bandwidths were over 200 MHz in the two bands.


Author(s):  
Gaoya Dong ◽  
Xiaolong Yang ◽  
Yunnan Fang ◽  
Manos M. Tentzeris

2021 ◽  
pp. 108475
Author(s):  
Huihui Song ◽  
Yutong Jin ◽  
Yong Cheng ◽  
Bo Liu ◽  
Dong Liu ◽  
...  

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Qijie Zou ◽  
Jing Yu ◽  
Hui Fang ◽  
Jing Qin ◽  
Jie Zhang ◽  
...  

Stereo matching is the key technology in stereo vision. Given a pair of rectified images, stereo matching determines correspondences between the pair images and estimate depth by obtaining disparity between corresponding pixels. The current work has shown that depth estimation from a stereo pair of images can be formulated as a supervised learning task with an end-to-end frame based on convolutional neural networks (CNNs). However, 3D CNN puts a great burden on memory storage and computation, which further leads to the significantly increased computation time. To alleviate this issue, atrous convolution was proposed to reduce the number of convolutional operations via a relatively sparse receptive field. However, this sparse receptive field makes it difficult to find reliable corresponding points in fuzzy areas, e.g., occluded areas and untextured areas, owing to the loss of rich contextual information. To address this problem, we propose the Group-based Atrous Convolution Spatial Pyramid Pooling (GASPP) to robustly segment objects at multiple scales with affordable computing resources. The main feature of the GASPP module is to set convolutional layers with continuous dilation rate in each group, so that it can reduce the impact of holes introduced by atrous convolution on network performance. Moreover, we introduce a tailored cascade cost volume in a pyramid form to reduce memory, so as to meet real-time performance. The group-based atrous convolution stereo matching network is evaluated on the street scene benchmark KITTI 2015 and Scene Flow and achieves state-of-the-art performance.


Electronics ◽  
2021 ◽  
Vol 10 (22) ◽  
pp. 2788
Author(s):  
Ziyang Lu ◽  
Yubin Zhao ◽  
Dunge Liu

In coupled magnetic resonance (CMR) wireless energy transfer systems, the energy transfer power is low and the power transfer efficiency changes with the coil position. One reason for this reduction in power and efficiency is the impedance mismatching (IM) between the Tx and Rx coils; achieving impedance matching for multiple-input multiple-output (MIMO) CMR IM wireless power transmission (WPT) is quite complex due to the uncertainty in the number of coils and the interaction between coils. In this paper, we provide an analytical model of MIMO CMR which fully formulates the complex relationship between multiple Tx and Rx channels. Then, we design an impedance matching network (IMN) for MIMO CMR and derive an optimal IM solution. Base on this solution, we also develop an adaptive impedance matching scheme to control IMN, based on an automatic analysis of MIMO CMR system; the resulting control scheme achieves optimal values for transmission power and efficiency through IMN and coil selection. The simulation results indicate that the scheme is able to automatically adjust the impedance matching network according to the changes of the relative positions between Tx and Rx coils to achieve high energy transfer power and efficiency.


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