In this paper, the synthesis of planar thinned arrays with controlled sidelobes is addressed. A novel multi-step autocorrelation-based approach is presented, in which a stochastic optimization is firstly exploited to determine the binary sequence providing the best matching with a target function in the autocorrelation domain, and then the thinned excitations of the array are defined by selecting the best cyclic solution evaluated in terms of a user-defined figure of merit.
Array synthesis in the autocorrelation domain-proof and research tracks / Hannan, M. A.; Poli, L.; Oliveri, G.; Massa, A.. - STAMPA. - (2019), pp. 385-386. (Intervento presentato al convegno APSURSI 2019 tenutosi a Atlanta, GA nel 7th-12th July 2019) [10.1109/APUSNCURSINRSM.2019.8888814].
Array synthesis in the autocorrelation domain-proof and research tracks
Hannan M. A.;Poli L.;Oliveri G.;Massa A.
2019-01-01
Abstract
In this paper, the synthesis of planar thinned arrays with controlled sidelobes is addressed. A novel multi-step autocorrelation-based approach is presented, in which a stochastic optimization is firstly exploited to determine the binary sequence providing the best matching with a target function in the autocorrelation domain, and then the thinned excitations of the array are defined by selecting the best cyclic solution evaluated in terms of a user-defined figure of merit.| File | Dimensione | Formato | |
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Array Synthesis in the Autocorrelation Domain - Proof and Research Tracks.pdf
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