Efficient Data Reduction in Near-Field Measurements by an Improved Warping Greedy Method

In this paper, a fast greedy method for data reduction in near-field antenna testing is proposed. Starting from the recent Warping Driven Greedy Method, the execution times of the latter can be further improved by considering as the initial set of points of the iterative procedure, those of the measurement aperture that do not exceed the size of the antenna. A numerical example shows that the proposed approach has the same performance as the classical one but with a lower computation burden.