A SIX-PORT MEASUREMENT DEVICE FOR HIGH POWER MICROWAVE VECTOR NETWORK ANALYSIS
Benjamin KOMMEY
bkommey.coe@knust.edu.ghKwame Nkrumah University of Science and Technology, Faculty of Electrical and Computer Engineering, Department of Computer Engineering, Kumasi (Ghana)
Ernest Ofosu ADDO
Kwame Nkrumah University of Science and Technology, Faculty of Electrical and Computer Engineering, Department of Computer Engineering, Kumasi (Ghana)
Elvis TAMAKLOE
Kwame Nkrumah University of Science and Technology, Faculty of Electrical and Computer Engineering, Department of Computer Engineering, Kumasi, (Ghana)
Eric Tutu TCHAO
Kwame Nkrumah University of Science and Technology, Faculty of Electrical and Computer Engineering, Department of Computer Engineering, Kumasi, (Ghana)
Henry NUNOO-MENSAH
Kwame Nkrumah University of Science and Technology, Faculty of Electrical and Computer Engineering, Department of Computer Engineering, Kumasi, (Ghana)
Abstract
The changes experienced in technology due to the third industrial revolution have over the years contributed immensely to the development of efficient devices and systems. As a result, solutions have been provided to challenges encountered in the heating industry. However, higher efficiency and better performance has undoubtedly been highly sort after. This paper presents the complete industrial development of a new system of a microwave device for use in S-band networks (2.45 GHz ISM band in this application): a vector network analyzer (VNA). The VNA, which is designed based on the six-port measurement principle, provides accurate measurements of both magnitude and phase of the load reflection coefficient. The device is designed to have high power handling capabilities and works under the full operating conditions of high-power microwave generators. Initial measurements show that the device perform stable and can perform temperature-independent measurements over protracted periods. The system is suited for on-line monitoring and control of network parameters in industrial waveguide applications..
Keywords:
vector network analyzer, microwave device, S-Band network, reflection coefficient, waveguideReferences
MHz to 8 GHz, 70 dB Logarithmic Detector/Controller. AD8318. (2019). Analog Devices Inc. http://static6.arrow.com/aropdfconversion/c131abb3e072c9996e733ced0e5cd0a20107716d/ad8318-ep.pdf
Google Scholar
-Bit, 4-Channel Serial Output Sampling Analog-to-Digital Converter. AD8318. (2001). Texas Instruments Inc. https://www.ti.com/lit/ds/sbas469c/sbas469c.pdf?ts=1663959751768&ref_url=https%253A%252F%252F
Google Scholar
www.google.com%252F
Google Scholar
-Bit Bidirectional Voltage-Level Translator for Open-Drain and Push-Pull Applications. TXS0102. (2018). Texas Instruments Inc. https://www.ti.com/lit/ds/symlink/txs0102-q1.pdf?ts=1663942071269&ref_url=https%253A%252F%252Fwww.google.it%252F
Google Scholar
Amornraksa, S., & Sritangthung, T. (2020). Microwave-Assisted Pyrolysis of Fuel Oil for Hydrocarbons Upgrading. E3S Web of Conferences, 141, 01013. https://doi.org/10.1051/e3sconf/202014101013
DOI: https://doi.org/10.1051/e3sconf/202014101013
Google Scholar
Arm®Cortex®-M4 32b MCU+FPU, (STM32F334x4 STM32F334x6 STM32F334x8). Datasheet. (2020). STMicroelectronics. https://datasheetspdf.com/datasheet/STM32F334R6.html
Google Scholar
BLM18KG121TN1D: Chip Ferrite Bead. (2020). Murata Electronics. https://www.murata.com/englobal/api/pdfdownloadapi?cate=&partno=BLM18KG121TN1%23
Google Scholar
Caiazzo, F., & Alfieri, V. (2018). Simulation of Laser Heating of Aluminium and Model Validation via TwoColor Pyrometer and Shape Assessment. Materials, 11(9), 1506. https://doi.org/10.3390/ma11091506
DOI: https://doi.org/10.3390/ma11091506
Google Scholar
De-chao, H. (2015). The Application Advantages of Microwave Fixation in Cotton Fabric Dyeing. International Conference on Education Technology, Management and Humanities Sciences (pp. 535–539). Atlantis Press.
Google Scholar
Elshemy, N. S. & Haggag, K. (2019). New Trend in Textile Coloration Using Microwave Irradiation. J. Text. Color. Polym. Sci., 16(1), 33–48.
DOI: https://doi.org/10.21608/jtcps.2019.9928.1019
Google Scholar
Engen, G. F. (1977). The Six-Port Reflectometer: An Alternative Network Analyzer. IEEE Transactions on Microwave Theory and Techniques, 25(12), 1075–1080. https://doi.org/10.1109/TMTT.1977.1129277
DOI: https://doi.org/10.1109/TMTT.1977.1129277
Google Scholar
Gartshore, A., Kidd, M. & Joshi, L. T. (2021). Applications of Microwave Energy in Medicine. Biosensors, 11(4), 96. https://doi.org/10.3390/bios11040096
DOI: https://doi.org/10.3390/bios11040096
Google Scholar
Implications of Slow or Floating CMOS Inputs. SCBA004D. (2016). Texas Instruments Inc. https://www.ti.com/lit/an/scba004e/scba004e.pdf?ts=1663946172219&ref_url=https%253A%252F%252Fwww.google.com%252F
Google Scholar
MacDonald, B., & Miadonye, A. (2018). Microwave Application in Petroleum Processing. Ecology, Pollution And Environmental Science: Open Access ( Eeo ), 1(1), 10–12.
Google Scholar
Miniature Linear Motion Series L12. (2019). Actuator Motion Devices Inc. https://s3.amazonaws.com/actuonix/Actuonix+L12+Datasheet.pdf
Google Scholar
Mohra, A. S. (2004). Six-Port Reflectometer Structure Using Two Microstrip Three-Section Couplers. Scientific Bulletin, Ain Shams University, Faculty of Engineering, 19(1).
Google Scholar
Moubarek, T., & Gharsallah, A. (2016). A Six-Port Reflectometer Calibration Using Wilkinson Power Divider. American Journal of Engineering and Applied Sciences, 9(2), 274–280. https://doi.org/10.3844/ajeassp.2016.274.280
DOI: https://doi.org/10.3844/ajeassp.2016.274.280
Google Scholar
Moubarek, T., Almanee, M., & Gharsallah, A. (2019). A Calibrating Six-Port Compact Circuit using a New Technique Program. International Journal of Advanced Computer Science and Applications, 10(5), 491–497.
DOI: https://doi.org/10.14569/IJACSA.2019.0100563
Google Scholar
Murzin, S. P., Kazanskiy, N. L., & Stiglbrunner, C. (2021). Analysis of the Advantages of Laser Processing of Aerospace Materials Using Diffractive Optics. Metal, 11(6), 963. https://doi.org/10.3390/met11060963
DOI: https://doi.org/10.3390/met11060963
Google Scholar
Practical Design Techniques for Sensor Signal Conditioning. 1st Edition. (1999). Analog Devices Inc. https://www.analog.com/media/en/training-seminars/design-handbooks/Practical-Design-TechniquesSensor-Signal/Outline.PDF
Google Scholar
Remote 8-Bit I/O Expander for I2C Bus. PCF8574. (2015). Texas Instruments Inc. https://www.ti.com/lit/ds/symlink/pcf8574.pdf
Google Scholar
Shah, S. R. M. (2019). Prospective Applications of Microwaves in Medicine. M.S. thesis, Uppsala University, Uppsala, Sweden.
Google Scholar
Sorică, E., Sorică, C. M., Cristea, M., & Grigore, I. A. (2021). Technologies used for food preservation using microwave. E3S Web of Conferences, 286, 04008. https://doi.org/10.1051/e3sconf/202128604008
DOI: https://doi.org/10.1051/e3sconf/202128604008
Google Scholar
Ultraprecision, Low Noise, 2.048 V/ 2.500 V/ 3.00 V/ 5.00 V XFET ® Voltage References. ADR420/ ADR421/ADR423/ ADR425. (2013). Analog Devices Inc. https://www.farnell.com/datasheets/101790.pdf
Google Scholar
Vishnuram, P., Ramachandiran, G., Sudhakar, B. T., & Nastasi, B. (2021). Induction Heating in Domestic Cooking and Industrial Melting Applications: A Systematic Review on Modelling, Converter Topologies and Control Schemes. Energies, 14(20), 6634. https://doi.org/10.3390/en14206634
DOI: https://doi.org/10.3390/en14206634
Google Scholar
Authors
Benjamin KOMMEYbkommey.coe@knust.edu.gh
Kwame Nkrumah University of Science and Technology, Faculty of Electrical and Computer Engineering, Department of Computer Engineering, Kumasi Ghana
Authors
Ernest Ofosu ADDOKwame Nkrumah University of Science and Technology, Faculty of Electrical and Computer Engineering, Department of Computer Engineering, Kumasi Ghana
Authors
Elvis TAMAKLOEKwame Nkrumah University of Science and Technology, Faculty of Electrical and Computer Engineering, Department of Computer Engineering, Kumasi, Ghana
Authors
Eric Tutu TCHAOKwame Nkrumah University of Science and Technology, Faculty of Electrical and Computer Engineering, Department of Computer Engineering, Kumasi, Ghana
Authors
Henry NUNOO-MENSAHKwame Nkrumah University of Science and Technology, Faculty of Electrical and Computer Engineering, Department of Computer Engineering, Kumasi, Ghana
Statistics
Abstract views: 230PDF downloads: 91
License
All articles published in Applied Computer Science are open-access and distributed under the terms of the Creative Commons Attribution 4.0 International License.
Similar Articles
- Manikandan SRIDHARAN, Delphin Carolina RANI ARULANANDAM, Rajeswari K CHINNASAMY, Suma THIMMANNA, Sivabalaselvamani DHANDAPANI, RECOGNITION OF FONT AND TAMIL LETTER IN IMAGES USING DEEP LEARNING , Applied Computer Science: Vol. 17 No. 2 (2021)
- Elizabeth Perez, Juan A. Araiza, Dreysy Pozos, Edmundo Bonilla, Jose C. Hernandez, Jesus A. Cortes, APPLICATION FOR FUNCTIONALITY AND REGISTRATION IN THE CLOUD OF A MICROCONTROLLER DEVELOPMENT BOARD FOR IOT IN AWS , Applied Computer Science: Vol. 17 No. 2 (2021)
- Anupa ARACHCHIGE, Ranil SUGATHADASA, Oshadhi HERATH, Amila THIBBOTUWAWA, ARTIFICIAL NEURAL NETWORK BASED DEMAND FORECASTING INTEGRATED WITH FEDERAL FUNDS RATE , Applied Computer Science: Vol. 17 No. 4 (2021)
- Marcin BADUROWICZ, DETECTION OF SOURCE CODE IN INTERNET TEXTS USING AUTOMATICALLY GENERATED MACHINE LEARNING MODELS , Applied Computer Science: Vol. 18 No. 1 (2022)
- Ihor PYSMENNYI, Anatolii PETRENKO, Roman KYSLYI, GRAPH-BASED FOG COMPUTING NETWORK MODEL , Applied Computer Science: Vol. 16 No. 4 (2020)
- Daniel HALIKOWSKI, Justyna PATALAS-MALISZEWSKA, Małgorzata SKRZESZEWSKA, A MODEL FOR ASSESSING THE LEVEL OF AUTOMATION OF A MAINTENANCE DEPARTMENT USING ARTIFICIAL NEURAL NETWORK , Applied Computer Science: Vol. 14 No. 4 (2018)
- Nawazish NAVEED, Hayan T. MADHLOOM, Mohd Shahid HUSAIN, BREAST CANCER DIAGNOSIS USING WRAPPER-BASED FEATURE SELECTION AND ARTIFICIAL NEURAL NETWORK , Applied Computer Science: Vol. 17 No. 3 (2021)
- Sahar ZAMANI KHANGHAH, Keivan MAGHOOLI, EMOTION RECOGNITION FROM HEART RATE VARIABILITY WITH A HYBRID SYSTEM COMBINED HIDDEN MARKOV MODEL AND POINCARE PLOT , Applied Computer Science: Vol. 20 No. 1 (2024)
- Andrzej ŁUKASZEWICZ, Jerzy JÓZWIK, Kamil CYBUL, IMPACT OF FRICTION COEFFICIENT VARIATION ON TEMPERATURE FIELD IN ROTARY FRICTION WELDING OF METALS – FEM STUDY , Applied Computer Science: Vol. 19 No. 3 (2023)
- Tilla IZSÁK, László MARÁK, Mihály ORMOS, EVALUATION OF SUPPORT VECTOR MACHINE BASED STOCK PRICE PREDICTION , Applied Computer Science: Vol. 19 No. 3 (2023)
You may also start an advanced similarity search for this article.