Arinze Christian Okoye

Work place: Department of Electrical/Electronic Engineering, Federal University of Technology, Owerri, Imo State, Nigeria

E-mail: arinzecokoye@gmail.com

Website: https://orcid.org/0009-0003-1376-6443

Research Interests: Artificial Intelligence, Electromagnetics, Radio Propagation

Biography

Arinze Christian Okoye received B.Eng, M.Eng and PhD degrees in Electrical/Electronic Engineering
(Communication Engineering option) in 2008, 2014 and 2023, respectively, from Federal University of
Technology, Owerri, Imo State, Nigeria. He is a registered member of Council for the Regulation of
Engineering in Nigeria (COREN), Nigerian Society of Engineers (NSE), and Nigerian Institute of Management
(MNIM). His research interests are in Electromagnetics, Artificial Intelligence, and Radio Wave Propagation.

Author Articles
Green's Function Applications in Antenna Array Modeling: A Case Study with Multiple Log- Periodic Array (MLPA) Antennas

By Arinze Christian Okoye Anthony Tochukwu Umerah

DOI: https://doi.org/10.5815/ijwmt.2026.02.11, Pub. Date: 8 Apr. 2026

This paper presents an analytical and simulation-based treatment of the far-field radiation characteristics of a Multiple Log-Periodic Dipole Array (MLPA) antenna using Green’s function–based magnetic vector potential formulations. The study consolidates established electromagnetic theory by explicitly combining log-periodic element scaling, cumulative spatial phase delays, and array-level superposition into a single, transparent analytical workflow. The scalar free-space Green’s function is employed to derive the magnetic vector potential, from which far-field electric field expressions are obtained under standard approximations. Radiation characteristics such as half-power beamwidth, peak directivity, and sidelobe levels are extracted from MATLAB-based simulations and compared with representative theoretical LPDA performance ranges reported in the literature. The results demonstrate consistency with expected broadband LPDA behavior and serve primarily to illustrate the applicability of Green’s function methods to hierarchically structured log-periodic arrays. The work is intended as a reproducible analytical reference and pedagogical baseline for MLPA modeling, rather than as a replacement for full-wave numerical solvers or experimental validation.

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Optimizing Multiple Log-Periodic Array Antenna Design for Low Sidelobe and High-Directivity Performance: A Parametric Approach

By Arinze Christian Okoye Brendan Chukwuemeka Ogoh

DOI: https://doi.org/10.5815/ijem.2026.02.15, Pub. Date: 8 Apr. 2026

Multiple Log-Periodic Array (MLPA) antennas have attracted significant research interest due to their broadband capability and high directivity. Their performance, however, depends critically on design parameters, often referred to as design factors, which directly influence the radiation characteristics. This paper presents an analytical evaluation of the influence of design factors on MLPA antenna performance, focusing on directivity, side lobe level (SLL), and beamwidth. The study employs the magnetic vector potential method to derive the array factor and investigates how variations in divergence spacing, scaling factor, and element length distribution affect the radiation properties. Analytical derivations are validated with numerical simulations to reveal the trade-offs between bandwidth enhancement and radiation stability. Results show that optimal tuning of design factors enhances radiation efficiency while minimizing undesirable sidelobe effects. The findings contribute to the optimization of MLPA antennas for applications in wireless communications, radar, and electronic warfare systems.

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