Journal
IEEE SIGNAL PROCESSING LETTERS
Volume 14, Issue 9, Pages 589-592Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/LSP.2007.896149
Keywords
beamforming; clustering; multiple-antenna system; radial basis function network; symmetry
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Funding
- EPSRC [EP/D056691/1] Funding Source: UKRI
- Engineering and Physical Sciences Research Council [EP/D056691/1] Funding Source: researchfish
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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 minimum bit error rate benchmark, when supporting five users with the aid of three receive antennas.
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