Efficient analysis and optimization of reflectarray antennas for satellite telecommunication missions

Abstract

This contribution describes a general framework for the optimization of very large reflectarrays for space applications. It employs the generalized Intersection Approach with a series of techniques to accelerate computations. In particular, a machine learning technique is used to obtain a surrogate model of the reflectarray unit cell. Also, the gradient computation is accelerated by employing differential contributions on the radiated field. Computations may also be accelerated with the NUFFT employing a non-uniform grid in the spectral domain. Finally, instead of optimizing the crosspolar pattern, the XPD or XPI are optimized, improving both the antenna and algorithm performance. Relevant numerical examples are provided to show the capabilities of the proposed framework and acceleration techniques.