This paper presents a deterministic algorithm for the synthesis of sparse arrays with far-field and near-field constraints. Starting from an initial set of possible positions, the algorithm iteratively solves a sequence of convex optimization problems with the objective of minimizing the number of radiating elements among those of the initial set, in presence of constraints on the far-field pattern and on the amplitude of the electric field at prescribed points located in the near-field region of the antenna. The method is suitable for sparse arrays of arbitrary geometry. A numerical example is presented to show the effectiveness of the proposed approach.

A deterministic approach to the synthesis of sparse arrays with far-field and near-field constraints

BUTTAZZONI, GIULIA;VESCOVO, ROBERTO
2015-01-01

Abstract

This paper presents a deterministic algorithm for the synthesis of sparse arrays with far-field and near-field constraints. Starting from an initial set of possible positions, the algorithm iteratively solves a sequence of convex optimization problems with the objective of minimizing the number of radiating elements among those of the initial set, in presence of constraints on the far-field pattern and on the amplitude of the electric field at prescribed points located in the near-field region of the antenna. The method is suitable for sparse arrays of arbitrary geometry. A numerical example is presented to show the effectiveness of the proposed approach.
9781479978090
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7300148&isnumber=7300131
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11368/2846988
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