This paper presents an innovative strategy to the design of sub-arrayed planar phased arrays with controlled sidelobe level on a wideband of operation. The tiling of the aperture is performed using sub-arrays of irregular shapes (polyominoes) and the optimization of the sub-array structure is carried out by means of ad-hoc procedure, named “snowball” algorithm, based on a binary Genetic Algorithm (GA). A set of representative examples is reported and discussed also in a comparative fashion with the solutions synthesized using previously proposed methods.

Innovative GA-based strategy for polyomino tiling in phased array design

Rocca, Paolo;Manica, Luca;Massa, Andrea
2013-01-01

Abstract

This paper presents an innovative strategy to the design of sub-arrayed planar phased arrays with controlled sidelobe level on a wideband of operation. The tiling of the aperture is performed using sub-arrays of irregular shapes (polyominoes) and the optimization of the sub-array structure is carried out by means of ad-hoc procedure, named “snowball” algorithm, based on a binary Genetic Algorithm (GA). A set of representative examples is reported and discussed also in a comparative fashion with the solutions synthesized using previously proposed methods.
2013
Proc. 2013 IEEE EuCAP
Gothenburg, Sweden
IEEE
R., Chirikov; Rocca, Paolo; Manica, Luca; S., Santarelli; R. J., Mailloux; Massa, Andrea
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/35052
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