Symmetric RBF classifier for nonlinear detection in multiple-antenna aided systems

In this paper, we propose a powerful symmetric radial basis function (RBF) classifier for nonlinear detection in the so-called "overloaded" multiple-antenna-aided communication systems. By exploiting the inherent symmetry property of the optimal Bayesian detector, the proposed symmetric RB...

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Bibliographic Details
Main Authors: Chen, Sheng (Author), Wolfgang, Andreas (Author), Harris, Chris J. (Author), Hanzo, Lajos (Author)
Format: Article
Language:English
Published: 2008-05-01.
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