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Performance analysis of inserted resonators in microstrip array antenna for biomedical applications Man, Cing Nuam; Win, Thanda; Tun, Hla Myo; Aye, Mya Mya
Journal of Engineering Researcher and Lecturer Vol. 4 No. 1 (2025): Regular Issue
Publisher : Researcher and Lecturer Society

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58712/jerel.v4i1.177

Abstract

This paper investigates the use of inserted resonators in designing microstrip patch array antenna for biomedical applications, such as respiratory rate detection. The purpose of this study is to analyze size and placement of resonator, and slots which influence the overall performance. The antenna was constructed by connecting two single microstrip patch antennas (11.7mm × 15.7 mm×1.6 mm) on an FR4 substrate with a dielectric constant (????r = 4.4) to form (26 mm × 50mm × 1.6 mm). It achieves a miniaturized design of the expected resonance frequency with directional polarization, and provides good gain and bandwidth. The simulations were operated using FEKO software. The results and size of antenna were compared with references designs. The antenna was also designed for a 5-6 GHz frequency range, making it suitable for ISM band (Industrial, Medical, and Science) band range, low-power wireless applications, including Wi-Fi, and Bluetooth, as well as robotic systems, low-noise amplifier (LNA), 5 G applications, and WiFi 6E standard applications.
Analysis of received signal strength in indoor environment of telecommunication system Mon, Myint Myint; Aye, Mya Mya; Win, Lei Lei Yin
Journal of Computer-based Instructional Media Vol. 4 No. 1 (2026): Regular Issue
Publisher : Researcher and Lecturer Society

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58712/jcim.v4i1.155

Abstract

To improve the performance of wireless communications in indoor environment, it is important to optimize the signal quality by reducing the error rate between the received signal strength based on experimental data and estimating data. Due to the complexity of modern building layouts and construction materials, estimating signal strength values based on these structural elements is challenging. The aim of this paper is to analyse received signal strength of the specific area by using the path loss exponent model of ray tracing techniques. In indoor environments, modelling radio wave propagation involves estimating the received signal strength at various points based on the layout and geometry of the space. This study involved three placements of 1.8 GHz AAU5940 Wall Mounted transmitters at height with 11.12 m and at different distances with 44.81 m, 95.4 m, and 108.2 m of specific receiver building. The Received Signal Strength Indicator (RSSI) readings are typically recorded to analyse and understand the ray tracing technique characteristics in a wireless communication environment. This paper presents analytical results of some practical experiments that help to build an optimized signal quality for indoor environment using mathematical modelling with the help of MATLAB software.