Shairi, Noor Azwan and Mohd Sanusi, Nursyahirah and Adib, Othman and Zakaria, Zahriladha and Mohd Ibrahim, Imran (2019) Performance analysis of ultra-wideband RF switch using discrete pin diode in SC-79 package for medical application of microwave imaging. International Journal Of Electrical And Computer Engineering (IJECE), 9 (6). pp. 4668-4674. ISSN 2088-8708
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2019 PERFORMANCE ANALYSIS OF ULTRA-WIDEBAND RF SWITCH USING DISCRETE PIN DIODE.PDF Download (864kB) |
Abstract
Microwave imaging is an emerging technology in the medical application which have similar functions as X-ray, Magnetic Resonance Imaging (MRI), and Computed Tomography scan (CT scan). In designing a microwave imaging system for medical application, it can use a monostatic radar approach by transmitting a Gaussian pulse (with an ultra-wideband (UWB) frequency). In this system, eight antennas are required with the support of RF switches. Thus, it is important to get the best performance of UWB RF switch in this application. Therefore, this paper presents the performance analysis of four different RF switch topologies (Design 1, 2, 3 and 4) using discrete PIN diode in SC-79 package. The design was based on single pole double throw (SPDT) switch. As result, Design 2 is the best topology after considering the tradeoff between isolation and return loss performances. Based on the three cascaded SPDT switches of Design 2, the insertion loss was less than -2 dB and return loss was more than -10 dB. Meanwhile, the isolation bandwidth (at the minimum isolation of -20 dB) was from 0.5 to 3.7 GHz (with 3.2 GHz bandwidth), hence, it could be used in the UWB frequency for medical application of microwave imaging
Item Type: | Article |
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Uncontrolled Keywords: | Medical Application, Microwave Imaging, RF Switch, Single Pole Double Throw, Ultra-Wideband |
Divisions: | Faculty of Electronics and Computer Engineering > Department of Industrial Electronics |
Depositing User: | Norfaradilla Idayu Ab. Ghafar |
Date Deposited: | 13 May 2022 11:40 |
Last Modified: | 13 May 2022 11:40 |
URI: | http://eprints.utem.edu.my/id/eprint/24733 |
Statistic Details: | View Download Statistic |
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