Reconstruction of missing sections of radiation patterns using compressive sensing

Far field radiation pattern measurement is a key factor in performing antenna characterization. In some cases, the complete radiation pattern is not available. We present a study of the reconstruction of a missing section of antenna patterns. The proposed method uses a compressive sensing algorithm to reconstruct the missing data. The algorithm is based on a sparsity domain of the radiation patterns, in this case the discrete Fourier transform. The analysis is demonstrated by evaluating the proposed algorithm using three different radiation patterns obtained from λ/2, 3λ/2, and 5λ/2 length dipole antennas. Results show that the compressive sensing algorithm can reconstruct a missing section up to 45% of the total number of samples.