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Aaron Don M. Africa
De La Salle University Manila

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Dipole antenna with biconical and pyramidal horn design in radio frequency identification simulations Aaron Don M. Africa; Rica Rizabel M. Tagabuhin; Jan Jayson S. D. Tirados
Indonesian Journal of Electrical Engineering and Computer Science Vol 29, No 1: January 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v29.i1.pp181-189

Abstract

Radio frequency identification (RFID) systems are used in several applications. It is widely used in retail, corporations, and schools for several purposes such as inventory, identification, and cashless payments. The components of an RFID system include a tag and a reader. The RFID reader includes an RF module that transmits and receives signals. While the RFID tag transmits embedded signals, which is typically some form of identification. The tag is a passive component powered by the reader. The two components make use of antennas to communicate the signals with each other. The design of the antenna is an important factor to consider in the production of the RFID. The size of the antenna must be small enough to provide convenience and the gain must be strong enough to effectively transmit and receive signals between the two components. In this paper, an antenna for an RFID tag is designed using MATLAB software. The antenna to be designed must be cost-efficient and be able to radiate an acceptable gain. This research creates a dipole antenna with biconical and pyramidal horn design in RFID simulations.
Development of an adaptive finite impulse response filter optimization algorithm using rough set theory Aaron Don M. Africa; John Arvin Mercado; Joshua Kenichi Sim
Indonesian Journal of Electrical Engineering and Computer Science Vol 31, No 1: July 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v31.i1.pp238-247

Abstract

Signal processing is crucial that as one sends information, there is a corresponding process to encode, decode, and clean the signal of unwanted noise and disruptions via use of filters. Due to the environment and how unpredictable it can be and how noise can come from almost anywhere, the typical filter to be used are adaptive filters. Adaptive filters are non-linear filters and have been used regularly regarding adaptive signal processing, this means that the filter changes accordingly and adapts to the environmental noise surrounding it. The world today has numerous applications for adaptive filters such as channel equalization and acoustic noise cancellation. This incentivizes the further development of this specific technology and the constant research that is ongoing. The main component when it comes to adaptive filtering is the algorithms used for the filter. This research compares the least mean square (LMS) and recursive least square (RLS) algorithms concerning their effectiveness in filtering out unwanted acoustic noises. The paper will cover the design and implementation of an optimized rough set based adaptive finite impulse response (FIR) filter for acoustic noise cancellation. The microstrip and bowtie antenna were used to relay the data. The software MATLAB was used for the simulation.
Development of a design optimization algorithm for a bowtie antenna Aaron Don M. Africa; Rica Rizabel M. Tagabuhin; Jan Jayson Tirados
Indonesian Journal of Electrical Engineering and Computer Science Vol 31, No 1: July 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v31.i1.pp229-237

Abstract

A bowtie antenna is one of the simple dipole antennas with an omnidirectional pattern utilized in several applications. It is used in industrial applications, scientific applications, and medical applications. Its elementary design can be subjected to modification to expand the applications of the dipole and improve its performance. This paper aims to develop a design optimization algorithm for a bowtie antenna with an adaptive finite impulse response (FIR) filter. In the paper, the different designs of the bowtie antenna are simulated using MATLAB software. The design of antennas is constructed using the partial differential equation (PDE) toolbox in MATLAB software. The designs explored in the paper are the slotted microstrip bowtie antenna and the double flare bowtie antenna. A traditional bowtie was also simulated to be used as a reference for the evaluation of the modified antennas. The dimensions of the designs are kept closely like draw accurate conclusions about the effects of the refinements done. The effects of the modification of the designs on the directivity and return loss are determined to assess the effectiveness of the design alterations.
Co-Authors Jan Jayson S. D. Tirados Jan Jayson Tirados John Arvin Mercado Joshua Kenichi Sim Rica Rizabel M. Tagabuhin