Far Field Reconstruction based on Compressive Sensing with Prior Knowledge
Keywords:
Field reconstruction, prior knowledge, sparse, compressive sensingAbstract
Far field reconstruction in a large-scale space is time consuming and imprecise. However, if these data are sampled randomly and can be sparse on a specific transform domain, it will become quick and accurate to complete the field reconstruction by using the compressive sensing (CS). By taking the feature of the far field distribution for the half-wave dipole antenna in half space as an important prior knowledge, the sparse transform can be chosen appropriately. Moreover, a piecewise approximation method is presented to reconstruct the far field. The simulated results show that this proposed method has better performance for far field reconstruction than the traditional method.
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