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Support vector regression for near‐field multifocused antenna arrays considering mutual coupling
Author(s) -
Muñiz Jana Álvarez,
Ayestarán Rafael G.,
Laviada Jaime,
LasHeras Fernando
Publication year - 2015
Publication title -
international journal of numerical modelling: electronic networks, devices and fields
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.249
H-Index - 30
eISSN - 1099-1204
pISSN - 0894-3370
DOI - 10.1002/jnm.2058
Subject(s) - coupling (piping) , antenna (radio) , support vector machine , field (mathematics) , regression analysis , regression , matrix (chemical analysis) , radiation pattern , computer science , mathematics , engineering , statistics , telecommunications , artificial intelligence , machine learning , materials science , mechanical engineering , pure mathematics , composite material
Summary Support vector regression is proposed to obtain the coupling matrix that accounts for the real behavior of an antenna array in the near‐field multifocusing framework. The obtained model can then be easily included in this synthesis method in order to obtain the feeding weights which satisfy the radiation pattern requirements under real conditions. An example of the performance of support vector regression using information from method of moments is also provided to demonstrate the performance and accuracy of the technique. Copyright © 2015 John Wiley & Sons, Ltd.