Shaikh, Faraz Ahmed and Khan, Sheroz and Zaharudin, Zarimin and Alam, Zahirul and Abdul Rahman, Farah Diyana and Badron, Khairayu and Yaacob, Mashkuri and Shahid, Zeeshan and Shaikh, Humaiz and Ahmed, Syed Faiz (2018) Detection and analysis of metal impairment inside wall using UWB modified antipodal vivaldi antenna. In: 2017 4th IEEE International Conference on Engineering Technologies and Applied Sciences (ICETAS), 29th Nov. - 1st Dec. 2017, Salmabad, Bahrain.
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Abstract
This paper present a detection technique of metal placed inside and between two walls. A unique scheme of recognition of metallic objects through Ultra Wide Band (UWB) Modified Antipodal Vivaldi Antenna (MAVA) frequency range of (3.1GHz to 10.6 GHz) is presented in this paper. The working mechanism of detection system based on Time Domain Reflectrometry (TDR) using through wall imaging (TWMI). A very small duration pulses generated by Vector Network Analyzer (VNA) which are used for illuminating the wall. The investigation of outcomes of a system under UWB antenna probe array. The simulation results of MAVAhave given a massive potential of penetration, in order to identify concealed metal objects with fine accuracy, proving a smart development in the detection system technology. The improvement of resolution in an image, special filters have been developed and implemented. The design and optimization progression is conceded out via CST simulation software for parametric performance assessment of return loss, radiation pattern and directivity.
Item Type: | Conference or Workshop Item (Plenary Papers) |
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Additional Information: | 3930/65580 Conference held in 2017. Published im IEEE Xplore in 2018. Index in SCOPUS in 2018. FS 19/9/20158 |
Uncontrolled Keywords: | UWB, Microwave Imaging, MAVA, UWB antenna, UWB pulse, SSL, High Gain Antenna,TWMI, TDR,GPR;VNA, CST |
Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): | Kulliyyah of Engineering > Department of Electrical and Computer Engineering Kulliyyah of Engineering |
Depositing User: | Professor Mashkuri Yaacob |
Date Deposited: | 19 Sep 2018 15:39 |
Last Modified: | 10 Jan 2019 15:56 |
URI: | http://irep.iium.edu.my/id/eprint/65580 |
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