scholarly journals Measuring Capacitor Parameters Using Vector Network Analyzers

2014 ◽  
Vol 18 (1) ◽  
pp. 29 ◽  
Author(s):  
Deniss Stepins ◽  
Gundars Asmanis ◽  
Aivis Asmanis
Keyword(s):  
Vector Network Analyzers ◽  
Network Analyzers ◽  
Measuring Capacitor

scholarly journals Reference Breast Phantoms for Low-Cost Microwave Imaging

2020 ◽  
Vol 14 (4) ◽  
pp. 411-415
Author(s):  
Emine Avşar Aydin ◽  
Selin Yabaci Karaoğlan
Keyword(s):  
Breast Cancer ◽  
Low Cost ◽  
Microwave Frequency ◽  
Biological Tissues ◽  
Microwave Imaging ◽  
Vector Network Analyzers ◽  
Network Analyzers ◽  
Computer Based ◽  
Breast Phantoms ◽  
Inverse Radon Transform

Microwave imaging provides an alternative method for breast cancer screening and the diagnosis of cerebrovascular accidents. Before a surgical operation, the performance of microwave imaging systems should be evaluated on anatomically detailed anthropomorphic phantoms. This paper puts forward the advances in the development of breast phantoms based on 3D printing structures filled with liquid solutions that mimic biological tissues in terms of complex permittivity in a wide microwave frequency band. In this paper; four different experimental scenarios were created, and measurements were performed, and although there are many vector network analyzers on the market, the miniVNA used in this study has been shown to have potential in many biomedical applications such as portable computer-based breast cancer detection studies. We especially investigated the reproducibility of a particular mixture and the ability of some mixes to mimic various breast tissues. Afterwards, the images similar to the experimentally created scenarios were obtained by implementing the inverse radon transform to the obtained data.

scholarly journals Novel Low THz Frequency Extenders for Vector Network Analyzers

2019 ◽  
Vol 524 ◽  
pp. 012005
Author(s):  
D R Vizard ◽  
E G Hoare ◽  
M Gashinova ◽  
M Cherniakov
Keyword(s):  
Vector Network Analyzers ◽  
Network Analyzers

Single- and Dual-Port 50-100-GHz Integrated Vector Network Analyzers With On-Chip Dielectric Sensors

2014 ◽  
Vol 62 (9) ◽  
pp. 2168-2179 ◽  
Author(s):  
Ismail Nasr ◽  
Johannes Nehring ◽  
Klaus Aufinger ◽  
Georg Fischer ◽  
Robert Weigel ◽  
...  
Keyword(s):  
Vector Network Analyzers ◽  
Network Analyzers ◽  
On Chip ◽  
Dielectric Sensors

scholarly journals Automated Measuring Complex for the Research of the Frequency Characteristics of Microwave Filters in a Wide Range of Frequencies

2019 ◽  
pp. 765-772
Author(s):  
Andrey B. Gladyshev ◽  
Dmitry D. Dmitriev ◽  
Peter Yu. Zverev ◽  
Ivan A. Smolev
Keyword(s):  
Frequency Characteristics ◽  
Signal Generator ◽  
Spectrum Analyzer ◽  
Vector Network Analyzer ◽  
Microwave Filters ◽  
Output Power Level ◽  
Network Analyzer ◽  
Measuring Complex ◽  
Vector Network Analyzers ◽  
Network Analyzers

The article proposes a variant of an automated measuring complex designed to study the frequency characteristics of microwave filters. When developing microwave filters, it is necessary to control their frequency parameters, for which standard instruments are used – vector network analyzers. However, new technologies for manufacturing microwave filters, aimed at improving the frequency-selective characteristics and miniaturizing the design, do not allow for comprehensive studies using only one vector network analyzer. This is mainly due to the insufficient dynamic range of the vector network analyzers, which does not allow for a qualitative measurement of such parameters as attenuation in the filter barrier bands. This problem can be easily solved using a signal generator with an increased output power level and a spectrum analyzer. For a comprehensive study of the characteristics of microwave filters, a combination of methods for measuring the parameters of microwave filters is proposed, where the main characteristics will be measured in the passband using a vector network analyzer and the parameters of the obstacle bands using a signal generator and spectrum analyzer. By connecting devices into a network under the control of special software, we obtain a flexible and convenient system for automated research of the characteristics of microwave filters

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