Title :
Radial basis function aided space-time equalization in dispersive fading uplink environments
Author :
Wolfgang, A. ; Chen, S. ; Hanzo, L.
Author_Institution :
Sch. of ECS, Southampton Univ., UK
fDate :
30 May-1 June 2005
Abstract :
A novel radial basis function network (RBFN) assisted decision-feedback aided space-time equalizer (DF-STE) designed for receivers employing multiple antennas is proposed. The bit error rate (BER) performance of the RBFN aided DF-STE is evaluated when communicating over correlated Rayleigh fading channels, whose channel impulse response (CIR) is estimated using a Kalman filtering based channel estimator. The proposed receiver structure outperforms the linear minimum mean-squared error bench marker and it is less sensitive to both error propagation and channel estimation errors.
Keywords :
Kalman filters; antenna arrays; channel estimation; decision feedback equalisers; dispersive channels; error statistics; fading channels; filtering theory; least mean squares methods; matrix algebra; radial basis function networks; receiving antennas; telecommunication computing; BER; Kalman filtering; bit error rate; channel estimator; channel impulse response; correlated Rayleigh fading channels; decision-feedback aided space-time equalizer; dispersive fading uplink environments; error propagation; linear minimum mean-squared error bench marker; multiple antennas; radial basis function aided space-time equalization; Bit error rate; Channel estimation; Dispersion; Equalizers; Fading; Filtering; Kalman filters; Radial basis function networks; Rayleigh channels; Receiving antennas;
Conference_Titel :
Vehicular Technology Conference, 2005. VTC 2005-Spring. 2005 IEEE 61st
Print_ISBN :
0-7803-8887-9
DOI :
10.1109/VETECS.2005.1543580