The Master's thesis of researcher Ammar Saadoun Akoush was discussed at the College of Engineering, University of Basrah, Department of Electrical Engineering, under the supervision of Professor Dr. Haider Mohammed Abdul-Ridha and Professor Dr. Hussein Mudhaffar Younis, entitled Estimating 2D Direction-of-Arrival and Polarization Using FEKO Simulations and MATLAB-based Signal Processing

This work develops a multidimensional near-field localization framework using the MUSIC algorithm and full-wave electromagnetic simulations to jointly estimate range, direction-of-arrival, and polarization parameters with high accuracy under realistic conditions. By employing FEKO-generated electromagnetic manifolds that naturally account for mutual coupling, platform scattering, and antenna interactions, the study evaluates two polarization-sensitive crossed-dipole arrays—elliptical and Fermat-spiral—both in free space and mounted on a vehicle platform. Implemented in MATLAB and validated against FEKO simulations, the approach demonstrates robust performance across varying ranges, SNRs, and operating frequencies, consistently reducing estimation errors as SNR increases. Results show that both array geometries are effective for practical localization, with the Fermat-spiral offering slightly better robustness, confirming that full-wave manifold generation combined with subspace processing is a powerful method for accurate multidimensional near-field localization.