The problem of designing robust antenna configurations is cast as the solution of an inverse problem that is addressed by means of a hybrid approach based on Interval Analysis (IA) and Particle Swarm Optimization (PSO). The admissible tolerance error on the surface of reflector antennas or on the element excitations of antenna array is maximized while guaranteeing the upper and lower pattern bounds, including all power patterns potentially generated by the antenna, satisfying user-defined mask constraints. The pattern bounds are analytically computed through the IA for each trial antenna configuration defined by means of the PSO. Representative numerical examples are shown to validate the effectiveness of the proposed approach.

Robust antenna design through a hybrid inversion strategy combining interval analysis and nature-inspired optimization / Salucci, M.; Moriyama, T.. - In: JOURNAL OF PHYSICS. CONFERENCE SERIES. - ISSN 1742-6588. - STAMPA. - 904:(2017), pp. 0120071-0120075. (Intervento presentato al convegno NCMIP 2017 tenutosi a Institut Farman, Ecole normale supérieure Paris-Saclay, France nel 12 May, 2017) [10.1088/1742-6596/904/1/012007].

Robust antenna design through a hybrid inversion strategy combining interval analysis and nature-inspired optimization

M. Salucci;
2017-01-01

Abstract

The problem of designing robust antenna configurations is cast as the solution of an inverse problem that is addressed by means of a hybrid approach based on Interval Analysis (IA) and Particle Swarm Optimization (PSO). The admissible tolerance error on the surface of reflector antennas or on the element excitations of antenna array is maximized while guaranteeing the upper and lower pattern bounds, including all power patterns potentially generated by the antenna, satisfying user-defined mask constraints. The pattern bounds are analytically computed through the IA for each trial antenna configuration defined by means of the PSO. Representative numerical examples are shown to validate the effectiveness of the proposed approach.
2017
7th International Conference on New Computational Methods for Inverse Problems 12 May 2017, Paris-Saclay, France
Bristol
IOP
Salucci, M.; Moriyama, T.
Robust antenna design through a hybrid inversion strategy combining interval analysis and nature-inspired optimization / Salucci, M.; Moriyama, T.. - In: JOURNAL OF PHYSICS. CONFERENCE SERIES. - ISSN 1742-6588. - STAMPA. - 904:(2017), pp. 0120071-0120075. (Intervento presentato al convegno NCMIP 2017 tenutosi a Institut Farman, Ecole normale supérieure Paris-Saclay, France nel 12 May, 2017) [10.1088/1742-6596/904/1/012007].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/188813
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