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Radial Basis Function Network Assisted Wide-Band Beamforming

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In this paper we present a novel Radial Basis Function Network (RBFN) assisted wide-band beamformer which is based on the derivation of the Bayesian detector. The proposed receiver structure significantly outperforms conventional linear wide-band beamformers in terms of the achievable angular resolution and thus the receiver is capable of supporting a higher number of users. For the further enhancement of the BER performance and for the sake of complexity reduction a decision feedback aided RBF scheme is proposed.

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