A novel symmetrical split ring resonator based on microstrip for microwave sensors

Al-Ahnomi, Rammah Ali Hussien and Zakaria, Zahriladha and Ruslan, Eliyana and Mohd Bahar, Amyrul Azuan (2016) A novel symmetrical split ring resonator based on microstrip for microwave sensors. Measurement Science Review, 16 (1). pp. 21-27. ISSN 1335-8871

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Abstract

In this paper, novel symmetrical split ring resonator (SSRR) is proposed as a suitable component for performance enhancement of microwave sensors. SSRR has been employed for enhancing the insertion loss of the microwave sensors. Using the same device area, we can achieve a high Q-factor of 141.54 from the periphery enhancement using Quasi-linear coupling SSRR, whereas loose coupling SSRR can achieve a Q-factor of 33.98 only. Using Quasi-linear coupling SSRR, the Q-factor is enhanced 4.16 times the loose coupling SSRR using the same device area. After the optimization was made, the SSRR sensor with loose coupling scheme has achieved a very high Q-factor value around 407.34 while quasi-linear scheme has achieved high Q-factor value of 278.78 at the same operating frequency with smaller insertion loss. Spurious passbands at 1st, 2nd, 3rd, and 4th harmonics have been completely suppressed well above -20 dB rejection level without visible changes in the passband filter characteristics. The most significant of using SSRR is to be used for various industrial applications such as food industry, quality control, bio-sensing medicine and pharmacy. The simulation result that Quasi-linear coupling SSRR is a viable candidate for the performance enhancement of microwave sensors has been verified.

Item Type:	Article
Uncontrolled Keywords:	Material characterization, Microwave sensor, Symmetrical split ring resonator
Subjects:	T Technology > T Technology (General) T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:	Faculty of Electronics and Computer Engineering
Depositing User:	Mohd Hannif Jamaludin
Date Deposited:	29 Nov 2016 04:32
Last Modified:	05 Jul 2023 11:50
URI:	http://eprints.utem.edu.my/id/eprint/17675
Statistic Details:	View Download Statistic

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