Estimating the Far-Field Radiation Pattern from Near-Field Measurements using an Automated Robotic Arm
Near-Field to Far-Field Transformation Program for Customizable Scanning Geometry
M. Gillain (TU Delft - Electrical Engineering, Mathematics and Computer Science)
D.O. Zavoloko (TU Delft - Electrical Engineering, Mathematics and Computer Science)
N. Llombart Juan – Mentor (TU Delft - Electrical Engineering, Mathematics and Computer Science)
D. Lončarević – Mentor (TU Delft - Electrical Engineering, Mathematics and Computer Science)
M. Spirito – Graduation committee member (TU Delft - Electrical Engineering, Mathematics and Computer Science)
D. Cavallo – Mentor (TU Delft - Electrical Engineering, Mathematics and Computer Science)
M.C.R. Fieback – Graduation committee member (TU Delft - Electrical Engineering, Mathematics and Computer Science)
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Abstract
Automated Robotic arms redefine the limits of antenna characterization. This paper presents a method to estimate the far-field radiation pattern of antennas utilizing near-field measurements through the use of a 6-axis robotic arm. The innovation of our project lies in overcoming the current limitation of fixed scanning geometries, by extending them to any possible spatial shape with the support of a 6-axis robotic arm.
The project is built and validated incrementally through a series of MATLAB functions, utilizing the equivalence theorem as a NF to FF transformation method. Each stage builds upon the previous ones and increases in complexity. Validation stages begin by simulating infinitesimal dipoles and progress up to experimental validation of a tilted horn antenna. All the validation steps are successfully met, except for an unexpected phase symmetry. Our work sets a solid foundation for further development of this antenna measurement system. The system will significantly improve antenna characterization by enabling more flexible scanning grids.