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Articles

Wearable Multilayer Patch Antenna with Electromagnetic Band Gap Structure for Public Safety Systems

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Pages 2979-2988 | Published online: 23 Mar 2020
 

ABSTRACT

For providing security to the people, who survive in country borders, mine and chemical industries, wearable devices with sensors can be used to follow their activities through sensors. The main element of that security device is the antenna. Based on the construction, utility, and performance, miniaturized MicroStrip Patch (MSP) antennas are mainly preferred. In this paper, the compact MSP antenna design, using various flexible multilayer substrate materials with Electromagnetic Band Gap (EBG) structures, has been proposed to resonate at 2.45 GHz in ISM band. The simulated and the measured parameters have been analyzed and an improvement in gain up to 6 dB has been achieved compared to the existing technique.

Additional information

Notes on contributors

Ameena Banu Mustafa

Ameena Banu Mustafa received BE degree in electronics and communication engineering from AK College of Engineering, Srivilliputhur in 1999 and ME degree in communication systems in 2010 from Sethu Institute of Technology, Virudhunagar, Tamilnadu. She is working as an associate professor in Department of Electronics and Communication of Engineering, Sethu Institute of Technology and currently pursuing PhD under Anna University, Chennai. She has published a book for RF and Microwave Engineering. Her research interest includes flexible antennas for wearable applications. She is a life member of ISTE and IETE.

Tamilselvi Rajendran

Tamilselvi Rajendran received BE degree in ECE from Bharathidasan University, Trichy, in 2002, and MTech in advanced communication systems from SASTRA University in 2004. She received her PhD from Anna University, Chennai, in 2014. Currently, she is a professor in the Department of Electronics and Communication Engineering at Sethu Institute of Technology, Pulloor Virudhunagar District, Tamilnadu, India. Her research interest includes image processing, signal processing, and neural network. She is a life member of ISTE, BMESI, and IACSIT. Email: [email protected]

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