Data Correction-Based Model-Driven 3D Radiation Directional Pattern Construction for 5G Base Stations

Accurately measuring the radiation directional pattern of base stations is crucial for performance evaluation of antenna radiation in fifth generation (5G) wireless communications. However, existing methods construct antenna directional pattern typically rely on the E-plane and H-plane data, limiting their applicability. This paper presents a new model-driven three-dimensional (3D) radiation directional pattern construction method based on data correction for 5G base stations. This method utilizes an unmanned aerial vehicle (UAV) to collect radiation characteristic data of the base station. We first propose a position correction method based on the 3D space transformation, and refine the radiation characteristic data accuracy according to a flat earth two-ray (FE2R) model. A improved close-in (CI) model driven inverse distance weighting (IDW) algorithm is then designed to accurately sense and depict the directional pattern of the base station. Experimental results demonstrate that the proposed radiation pattern construction method can achieve highly accurate radiation pattern of base stations.