Performance of adaptive bayesian equalizers in outdoor environments
Document typeConference report
PublisherIEEE INSTITUTE OF ELECTRICAL AND ELECTRONICS ENGINEERS, INC.
Rights accessOpen Access
Outdoor communications are affected by multipath propagation that imposes an upper limit on the system data rate and restricts possible applications. In order to overcome the degrading effect introduced by the channel, conventional equalizers implemented with digital filters have been traditionally used. A new approach based on neural networks is considered. In particular, the behavior of the adaptive Bayesian equalizer implemented by means of radial basis functions applied to the channel equalization of radio outdoor environments has been analyzed. The method used to train the equalizer coefficients is based on a channel response estimation. We compare the results obtained with three channel estimation methods: the least sum of square errors (LSSE) channel estimation algorithm, recursive least square (RLS) algorithm employed only to obtain one channel estimation and, finally, the RLS algorithm used to estimate the channel every decided symbol for the whole frame.
CitationValenzuela, J., Casadevall, F. Performance of adaptive bayesian equalizers in outdoor environments. A: IEEE Vehicular Technology Conference. "VTC 1997: 47th Vehicular Technology Conference: Phoenix, Arizona, USA: May 4-7, 1997". Phoenix: IEEE INSTITUTE OF ELECTRICAL AND ELECTRONICS ENGINEERS, INC., 1997, p. 2143-2147.