Title :
Adaptive digital communication receivers
Author_Institution :
McMaster Univ., Hamilton, Ont., Canada
fDate :
12/1/2000 12:00:00 AM
Abstract :
We present a tutorial review of adaptive signal processing applied to a digital communication receiver operating in a nonstationary environment. The topics covered include feedforward and recurrent neural networks and their applications to communication systems. The article also includes a discussion of turbo decoding, which involves a form of recurrent learning. It concludes with a discussion of the various aspects of adaptive signal processing as they relate to digital communication receivers.
Keywords :
adaptive signal processing; decision feedback equalisers; decoding; digital communication; feedforward neural nets; learning (artificial intelligence); receivers; recurrent neural nets; turbo codes; DFE; adaptive digital communication receivers; adaptive signal processing; communication systems; decision feedback equalizer; feedforward neural networks; linear equalizer; nonstationary environment; recurrent learning; recurrent neural networks; turbo decoding; unsupervised adaptive filtering; AWGN; Adaptive signal processing; Biological systems; Communication channels; Communication systems; Decision feedback equalizers; Digital communication; Nonlinear distortion; Radio transmitters; Stochastic processes;
Journal_Title :
Communications Magazine, IEEE
