Radial basis function network assisted wide-band beamforming

Abstract

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.

Reduced complexity single-carrier maximum-likelihood detection for decision feedback assisted space-time equalization

“…In order to benchmark the proposed algorithm against conventional DF-STEs proposed in the literature [6] a low-complexity system consisting of K =1MS benefiting from NTx =2number of transmit antennas and communicating over a channel modelled by two equal-power independently faded path. The signal was assumed to be BPSK modulated and the BS employed NRx =2 receive antennas as well as a DF aided STE in conjunction with M =2 , ∆=1and N =1 .…”