A Nonlinear Adaptive Beamforming Algorithm Based on Least Squares Support Vector Regression

A Nonlinear Adaptive Beamforming Algorithm Based on Least Squares Support Vector Regression

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 regression machine (LS-SVR) is derived in this pape...

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Bibliographic Details
Main Authors: Hongbin Xu, Zhengzhou Li, Gang Jin, Lutao Wang
Format: Article
Language:English
Published: MDPI AG 2012-09-01
Series:Sensors
Subjects:
adaptive beamforming
least-squares support vector regression (LS-SVR)
sparsification
kernel function
Online Access:http://www.mdpi.com/1424-8220/12/9/12424

Internet

http://www.mdpi.com/1424-8220/12/9/12424

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