Statistically thinned array antennas are usually employed to form single-beam radiation patterns. In this work, the possibility to adopt such type of antennas to obtain multiple-beam patterns is successfully explored. In particular, two schemes are proposed and compared. In the first one, multiplebeam patterns are realized by considering each beam corresponding to a different feeding network. In the second scheme, multiple-beam behavior is achieved by a single feeding network. A key question addressed in this manuscript is given by the analysis of the statistical deviation of the synthesized radiation pattern, as compared to the reference one. To this end, the up-crossing method is employed. In particular, the assumption of symmetric thinned arrays leads to analytical results, but avoids the adoption of the simplified hypothesis which usually give inaccuracy. The proposed approach is verified by a Monte Carlo analysis, and shows very good agreement between empirical data and theoretical predictions.

Statistically Thinned Array Antennas for Simultaneous Multibeam Applications

Sandra Costanzo;
2022

Abstract

Statistically thinned array antennas are usually employed to form single-beam radiation patterns. In this work, the possibility to adopt such type of antennas to obtain multiple-beam patterns is successfully explored. In particular, two schemes are proposed and compared. In the first one, multiplebeam patterns are realized by considering each beam corresponding to a different feeding network. In the second scheme, multiple-beam behavior is achieved by a single feeding network. A key question addressed in this manuscript is given by the analysis of the statistical deviation of the synthesized radiation pattern, as compared to the reference one. To this end, the up-crossing method is employed. In particular, the assumption of symmetric thinned arrays leads to analytical results, but avoids the adoption of the simplified hypothesis which usually give inaccuracy. The proposed approach is verified by a Monte Carlo analysis, and shows very good agreement between empirical data and theoretical predictions.
2022
Istituto per il Rilevamento Elettromagnetico dell'Ambiente - IREA
Statistically thinned arrays
phased antenna arrays
nonuniformly-spaced arrays
densitytapered arrays
multi-beam applications.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/413776
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