Title :
Multi-level radial basis function network based equalisers for Rayleigh channels
Author :
Yee, M.S. ; Hanzo, L.
Author_Institution :
Dept. of Electron. & Comput. Sci., Southampton Univ., UK
Abstract :
Radial basis function (RBF) network based channel equalisers have a close relationship with Bayesian schemes. Decision feedback is introduced in the design of the RBF equaliser in order to reduce its computational complexity. The RBF decision feedback equaliser (DFE) was found to give similar performance to the conventional mean square error (MSE) DFE over Gaussian channels using various quadrature amplitude modulation (QAM) schemes, while requiring a lower feedforward and feedback order. Over Rayleigh-fading channels similar findings were valid for binary modulation, while for higher order modems the RBF based DFE requires increased feedforward and feedback orders in order to outperform the conventional MSE DFE scheme
Keywords :
Gaussian channels; Rayleigh channels; decision feedback equalisers; quadrature amplitude modulation; radial basis function networks; BER; Bayesian schemes; Gaussian channels; MSE DFE; QAM; RBF DFE; RBF decision feedback equaliser; Rayleigh channels; Rayleigh-fading channels; binary modulation; channel equalisers; computational complexity reduction; decision feedback; feedback order; feedforward order; mean square error DFE; modems; multilevel radial basis function network equalisers; performance; quadrature amplitude modulation; Bayesian methods; Computer science; Decision feedback equalizers; Delay; Modems; Neurofeedback; Quadrature amplitude modulation; Radial basis function networks; Rayleigh channels; State feedback;
Conference_Titel :
Vehicular Technology Conference, 1999 IEEE 49th
Conference_Location :
Houston, TX
Print_ISBN :
0-7803-5565-2
DOI :
10.1109/VETEC.1999.778261