We show that the sampling approach provided by the Singular Value optimization (SVO) technique is 'optimal' in the sense that it leads to the use of elementary antennas having the same performance of 'virtual' receiving antennas provided by the application of the Singular Value Decomposition (SVD) approach. The discussion is led in a 2D, scalar setting. The theoretical arguments are supported by numerical results referring to a full 3DNear-Field/Far-Field (NFFF) transformation problem.
SVO optimality in Near-Field Antenna Characterization / Capozzoli, A.; Curcio, C.; Liseno, A.. - (2019), pp. 1-4. (Intervento presentato al convegno 2019 IEEE International Conference on Microwaves, Antennas, Communications and Electronic Systems, COMCAS 2019 tenutosi a israele nel 2019) [10.1109/COMCAS44984.2019.8957855].
SVO optimality in Near-Field Antenna Characterization
Capozzoli A.;Curcio C.;Liseno A.
2019
Abstract
We show that the sampling approach provided by the Singular Value optimization (SVO) technique is 'optimal' in the sense that it leads to the use of elementary antennas having the same performance of 'virtual' receiving antennas provided by the application of the Singular Value Decomposition (SVD) approach. The discussion is led in a 2D, scalar setting. The theoretical arguments are supported by numerical results referring to a full 3DNear-Field/Far-Field (NFFF) transformation problem.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
