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Please use this identifier to cite or link to this item: http://hdl.handle.net/10016/11681

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Title: Kernel antenna array processing
Author(s): Martínez-Ramón, Manel
Rojo-Álvarez, José Luis
Camps-Valls, Gustavo
Christodoulou, Christos G.
Publisher: IEEE
Issued date: Mar-2007
Citation: M. Martínez-Ramón, J. L. Rojo-Álvarez, G. Camps-Valls, C. G. Christodoulou, "Kernel Antenna Array Processing", IEEE Transactions on Antennas and Propagation, Special Issue on Synthesis and Optimization Techniques in Electromagnetics and Antenna System Design, Vol. 55, Nº 3, pp. 642-650, March 2007
URI: http://hdl.handle.net/10016/11681
ISSN: 0018-926X
Abstract: We introduce two support vector machine (SVM)-based approaches for solving antenna problems such as beamforming, sidelobe suppression, and maximization of the signal-to-noise ratio. A basic introduction to SVM optimization is provided and a complex nonlinear SVM formulation developed to handle antenna array processing in space and time. The new optimization formulation is compared with both the minimum mean square error and the minimum variance distortionless response methods. Several examples are included to show the performance of the new approaches
Publisher version: http://dx.doi.org/10.1109/TAP.2007.891550
Keywords: Kernel method
Beamforming
Array processing
Antenna array
Mercer’s kernels
Support vector machines
Appears in Collections:DTSC - G2PI - Artículos de Revistas

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