Clustering-Based Symmetric Radial Basis Function Beamforming

@article{Chen2007ClusteringBasedSR,
  title={Clustering-Based Symmetric Radial Basis Function Beamforming},
  author={Sheng Chen and Khaled Labib and Lajos Hanzo Hanzo},
  journal={IEEE Signal Processing Letters},
  year={2007},
  volume={14},
  pages={589-592}
}
We propose a clustering-based symmetric radial basis function (SRBF) detector for multiple-antenna assisted beamforming systems. By exploiting the inherent symmetry of the underlying optimal Bayesian detection solution, this SRBF detector is capable of realizing the optimal Bayesian performance by clustering noisy observation data using an enhanced K-means clustering algorithm. The proposed adaptive solution provides a signal-to-noise ratio gain in excess of 8 dB against the theoretical linear… CONTINUE READING
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