An Effective Antenna Pattern Reconstruction Method for Planar Near-Field Measurement System

This article presents a method of antenna radiation pattern reconstruction for the planar near-field measurement system. The proposed method uses clustering analysis and Voronoi cell classification to realize reasonable regional interpolation according to the data characteristics of a small number of initial samples, leading to an expansion of the amount of effective data in the initial array. Meanwhile, the Gerchberg-Papoulis (GP) algorithm is used to reduce the truncation errors of the interpolated planar near-field data, and consequently improve the overall reconstruction accuracy. The proposed method can effectively reduce the number of initial sampling points and the planar near-field scanning time of the measurement process. Besides, it can be seen from the simulation and measurement results that the planar near-field data processed by the clustering interpolation and GP algorithm can effectively enhance the reconstruction accuracy of the far-field pattern of the antenna under test (AUT).