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 - Tera-Hertz Sensing)
D. Lončarević – Mentor (TU Delft - Tera-Hertz Sensing)
Marco Spirito – Graduation committee member (TU Delft - Electronics)
D Cavallo – Mentor (TU Delft - Tera-Hertz Sensing)
Moritz Fieback – Graduation committee member (TU Delft - Computer Engineering)
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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 sys-
tem. The system will significantly improve antenna characterization by enabling more flexible
scanning grids.