In this paper, we present the results of a method for optimizing multi-antenna systems from imposed constraints (e.g. ideal radiation patterns at a single frequency or over a wide frequency range). The method is based on a surface integral formulation of the forward EM problem and a gradient method for minimizing a cost functional. The originality of the method lies in the analytic calculation of derivative of the cost functional versus different parameters such as location and shape. Various configurations of systems involving planar antennas illuminated by dipoles are studied. The robustness of the algorithm is investigated with noise-corrupted data.
Inversion algorithm for optimizing multi-antenna systems2013 IEEE Antennas and Propagation Society International Symposium (APSURSI) / Z. Zhao; M. Zoppi; Ch. Pichot; C. Dedeban; S. Selleri; G. Pelosi. - STAMPA. - (2013), pp. 532-533. (Intervento presentato al convegno IEEE AP-S Symposium tenutosi a Orlando (FL) nel 07-13 July 2013) [10.1109/APS.2013.6710926].
Inversion algorithm for optimizing multi-antenna systems2013 IEEE Antennas and Propagation Society International Symposium (APSURSI)
SELLERI, STEFANO;PELOSI, GIUSEPPE
2013
Abstract
In this paper, we present the results of a method for optimizing multi-antenna systems from imposed constraints (e.g. ideal radiation patterns at a single frequency or over a wide frequency range). The method is based on a surface integral formulation of the forward EM problem and a gradient method for minimizing a cost functional. The originality of the method lies in the analytic calculation of derivative of the cost functional versus different parameters such as location and shape. Various configurations of systems involving planar antennas illuminated by dipoles are studied. The robustness of the algorithm is investigated with noise-corrupted data.
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