We deal with the problem of extracting the maximum amount of information on an aperture field Ea from field measurements on a domain DI, with a priori information on the aperture field itself. Since collecting the information on DI is performed by means of field probes occupying different spatial positions, the problem at hand requires determining, as a function of the properties of the employed probes, of the shape and size of DI and of the a priori information on Ea, the overall number of acquisition points and their "optimal" spatial distribution to reconstruct "at the best" the aperture field.
Gradient-based, singular value optimization in near-field measurements / Capozzoli, Amedeo; Curcio, Claudio; D'Elia, Giuseppe; Liseno, Angelo. - (2010), pp. 1-4. (Intervento presentato al convegno IEEE International Symposium on Antennas and Propagation tenutosi a Toronto, Canada nel Jul. 11-17, 2010) [10.1109/APS.2010.5562160].
Gradient-based, singular value optimization in near-field measurements
CAPOZZOLI, AMEDEO;CURCIO, CLAUDIO;D'ELIA, GIUSEPPE;LISENO, ANGELO
2010
Abstract
We deal with the problem of extracting the maximum amount of information on an aperture field Ea from field measurements on a domain DI, with a priori information on the aperture field itself. Since collecting the information on DI is performed by means of field probes occupying different spatial positions, the problem at hand requires determining, as a function of the properties of the employed probes, of the shape and size of DI and of the a priori information on Ea, the overall number of acquisition points and their "optimal" spatial distribution to reconstruct "at the best" the aperture field.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
