Title :
Kernel Antenna Array Processing
Author :
Martínez-Ramón, Manel ; Rojo-Álvarez, Jose Luis ; Camps-Valls, Gustavo ; Christodoulou, Christos G.
Author_Institution :
Dept. of Signal ´´Theor. & Commun., Univ. Carlos III de Madrid, Leganes
fDate :
3/1/2007 12:00:00 AM
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
Keywords :
antenna arrays; array signal processing; support vector machines; SVM; kernel antenna array processing; support vector machine; Additive white noise; Array signal processing; Directive antennas; Gaussian noise; Kernel; Mean square error methods; Signal processing; Signal to noise ratio; Support vector machine classification; Support vector machines; Antenna arrays; Mercer´s kernels; beamforming; kernel method; support vector machines;
Journal_Title :
Antennas and Propagation, IEEE Transactions on
DOI :
10.1109/TAP.2007.891550
