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https://www.researchgate.net/publication/224623597_Beamforming_Using_Support_Vector_Machines
Beamforming Using Support Vector Machines Article (PDF Available) in IEEE Antennas and Wireless Propagation Letters 4(1):439 - 442 · February 2005 with 216 Reads How we measure 'reads'
https://ieeexplore.ieee.org/document/1545816/
Abstract: Support vector machines (SVMs) have improved generalization performance over other classical optimization techniques. Here, we introduce an SVM-based approach for linear array processing and beamforming. The development of a modified cost function is presented and it is shown how it can be applied to the problem of linear beamforming.Cited by: 74
https://www.researchgate.net/publication/220325724_Robust_Array_Beamforming_With_Sidelobe_Control_Using_Support_Vector_Machines
Robust Array Beamforming With Sidelobe Control Using Support Vector Machines. Article (PDF Available) in IEEE Transactions on Signal Processing 55:574-584 · January 2007 with 165 Reads
https://ieeexplore.ieee.org/document/1439244/
Robust array beamforming with sidelobe control using support vector machines Abstract: Robust adaptive beamforming is a challenging task in wireless communications due to the strict restrictions in the number of available snapshots, signal mismatches, or calibration errors. We present a new approach to adaptive beamforming that provides ...Cited by: 25
https://www.academia.edu/13594463/Beamforming_Using_Support_Vector_Machines
Beamforming Using Support Vector Machines
https://ui.adsabs.harvard.edu/abs/2005IAWPL...4..439R/abstract
adshelp[at]cfa.harvard.edu The ADS is operated by the Smithsonian Astrophysical Observatory under NASA Cooperative Agreement NNX16AC86ACited by: 74
https://www.semanticscholar.org/paper/Robust-Array-Beamforming-With-Sidelobe-Control-Caballero-Gaudes-Santamar%C3%ADa/9d5c8fef9d859a6ebbc70cb56c3f7d8733376100
Robust Array Beamforming With Sidelobe Control Using Support Vector Machines @article{CaballeroGaudes2004RobustAB, title={Robust Array Beamforming With Sidelobe Control Using Support Vector Machines}, author={C{\'e}sar Caballero-Gaudes and Ignacio Santamar{\'i}a and Javier V{\'i}a and Enrique Masgrau and T. S. Paules}, journal={IEEE 5th Workshop on Signal Processing …
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3478850/
To overcome the performance degradation in the presence of steering vector mismatches, strict restrictions on the number of available snapshots, and numerous interferences, a novel beamforming approach based on nonlinear least-square support vector …Cited by: 8
https://core.ac.uk/display/30044214
Support vector machines (SVMs) have improved generalization performance over other classical optimization techniques. Here, we introduce an SVM-based approach for linear array processing and beamforming. The development of a modified cost function is presented and it is shown how it can be applied to the problem of linear beamforming.
https://link.springer.com/article/10.1007/s11804-010-1031-4
Nov 25, 2010 · Abstract. An approach was proposed for optimizing beamforming that was based on Support Vector Regression (SVR). After studying the mathematical principal of the SVR algorithm and its primal cost function, the modified cost function was first applied to uniform array beamforming, and then the corresponding parameters of the beamforming were optimized.Cited by: 1
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