Far-Field Synthesis of Sparse Arrays with Cross-polar Pattern Reduction

Authors

  • Giulia Buttazzoni Department of Engineering and Architecture University of Trieste, Via A. Valerio 10, Trieste, 34127, Italy
  • Roberto Vescovo Department of Engineering and Architecture University of Trieste, Via A. Valerio 10, Trieste, 34127, Italy

Keywords:

Co-polar and cross-polar patterns, farfield synthesis, geometrical synthesis, sparse arrays

Abstract

This paper presents a fully deterministic iterative algorithm for the far-field synthesis of antenna arrays with reduction of the cross-polar component. The algorithm synthesizes the excitations as well as the positions of the array elements, providing a sparse geometry. Starting from an initial set of possible positions, the proposed algorithm iteratively solves a sequence of convex optimization problems. At each iteration a suitable objective function is minimized, which allows to reduce the number of radiating elements, among those of the initial set, in presence of constraints on the far-field co-polar and cross-polar patterns. The adopted formulation leads to a second order cone problem (SOCP), which is iteratively solved with CVX, a Matlab-based modeling system developed at the Stanford University and available on the Internet.

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CVX, [Online]. Available at: http://cvxr.com/cvx/ download/

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Published

2021-07-27

How to Cite

[1]
Giulia Buttazzoni and Roberto Vescovo, “Far-Field Synthesis of Sparse Arrays with Cross-polar Pattern Reduction”, ACES Journal, vol. 33, no. 01, pp. 79–82, Jul. 2021.

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General Submission