This master thesis investigates advanced methods for reconstructing antenna far-field radiation patterns from underdetermined planar near-field measurements. Traditional near-field characterization relies on the Nyquist sampling criterion, which often leads to prohibitive acquisition times and large datasets for electrically large antennas. The primary objective of this study was to evaluate sampling strategies that reduce the number of required measurement points without significantly degrading the accuracy of the reconstructed far-field. Five representative sampling and interpolation schemes were implemented and compared. These methods were rigorously assessed through full-wave simulations and validated using measurement.The results demonstrate that "informed" strategies, specifically those incorporating prior knowledge of the source geometry, achieve superior efficiency.