Design of flexible and wearable antenna for wireless and satellite based IoT applications

Shahab H. Khan; Tong Liu; Linbo Zhang; Asghar A. Razzaqi; Bilal A. Khawaja

doi:10.1117/12.2521517

17 April 2019 Design of flexible and wearable antenna for wireless and satellite based IoT applications

Shahab H. Khan, Tong Liu, Linbo Zhang, Asghar A. Razzaqi, Bilal A. Khawaja

Author Affiliations +

Proceedings Volume 11071, Tenth International Conference on Signal Processing Systems; 1107111 (2019) https://doi.org/10.1117/12.2521517
Event: Tenth International Conference on Signal Processing Systems, 2018, Singapore, Singapore

Abstract

This paper focuses on the design of flexible and wearable antennas using textile substrates for wireless/satellite based communication and control systems supporting Internet of Things (IoT). The same are based on on-body communication in Wireless body area network (WBANs). The antennas are designed using two different textile substrates i.e. Jeans and Polyester with ε_r of 1.7 and 2.8 respectively. The substrates are selected for the ease of wearability and the compact size of the designed antennas. The antennas are designed to operate in the C-Band (4-8 GHz) which is popular for satellite communications. The reason that a higher frequency band is selected is to overcome the congestion issues in the lower satellite frequency bands. Various simulation parameters like bandwidth, reflection coefficient (S11), 2D and 3D radiation patterns, directivity, gain and efficiency of both the antennas are compared and analysed. The maximum achieved gain, bandwidth and efficiency are 3.8dBi, 9.8GHz and 88.4 % for jeans substrate antenna and 3.1dBi, 6.7GHz and 77.5% for polyester substrate antenna respectively. The antennas are designed using Agilent Advance Design System simulator.

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Shahab H. Khan, Tong Liu, Linbo Zhang, Asghar A. Razzaqi, and Bilal A. Khawaja "Design of flexible and wearable antenna for wireless and satellite based IoT applications", Proc. SPIE 11071, Tenth International Conference on Signal Processing Systems, 1107111 (17 April 2019); https://doi.org/10.1117/12.2521517

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