Controlling the position of elements in sparse planar array would be the hardest work in the synthesis procedure since the array has to satisfy multiple design constraints e.g. number of elements, elements spacing and arrays aperture. In this paper, a simple method is implemented to effectively control 2-D sparse array. The approach implements two sets of data to separately manage the x- and y-coordinate of each element in the array. The array is then synthesized as an optimization problem using the recently improved version of Bayesian Optimization Algorithm. As a proof of concept, the results of a 108 element sparse planar array are here presented and discussed.

Synthesis of sparse planar array using modified Bayesian Optimization Algorithm / B. V., Ha; R. E., Zich; M., Mussetta; Pirinoli, Paola. - (2013), pp. 1541-1543. (Intervento presentato al convegno ICEAA 2013 tenutosi a Torino, Italy nel 9-13 Sept. 2013) [10.1109/ICEAA.2013.6632509].

Synthesis of sparse planar array using modified Bayesian Optimization Algorithm

PIRINOLI, Paola
2013

Abstract

Controlling the position of elements in sparse planar array would be the hardest work in the synthesis procedure since the array has to satisfy multiple design constraints e.g. number of elements, elements spacing and arrays aperture. In this paper, a simple method is implemented to effectively control 2-D sparse array. The approach implements two sets of data to separately manage the x- and y-coordinate of each element in the array. The array is then synthesized as an optimization problem using the recently improved version of Bayesian Optimization Algorithm. As a proof of concept, the results of a 108 element sparse planar array are here presented and discussed.
2013
9781467357050
9781467357074
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2518951
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