Title :
Support vector regression for the design of array antennas
Author :
Ayestarán, Rafael G. ; Las-Heras, Fernando
Author_Institution :
Dept. of Electr. Eng., Univ. de Oviedo, Gijon, Spain
fDate :
6/27/1905 12:00:00 AM
Abstract :
The support vector regression (SVR) framework is proposed as the basis for a new antenna array synthesis technique suitable to solve practical problems with high accuracy using a more appropriate cost function for template-based specification handling. Two design examples are presented to show the efficiency of the proposed method.
Keywords :
antenna arrays; regression analysis; support vector machines; antenna array synthesis technique; support vector regression; template-based specification handling; Antenna arrays; Antenna feeds; Antenna radiation patterns; Cost function; Lagrangian functions; Multiuser detection; Phased arrays; Quadratic programming; Support vector machine classification; Support vector machines; Antenna arrays; antenna radiation patterns; support vector machines;
Journal_Title :
Antennas and Wireless Propagation Letters, IEEE
DOI :
10.1109/LAWP.2005.859379
