Title :
A new successively decodable coding technique for intersymbol-interference channels
Author :
Guess, Tommy ; Varanasi, Mahesh K.
Author_Institution :
Dept. of Electr. Eng., Virginia Univ., Charlottesville, VA, USA
Abstract :
For the Gaussian channel with intersymbol-interference (ISI), it is known that there is no loss in channel capacity if the receiver is an ideal minimum mean-squared error (MMSE) decision-feedback equalizer (DFE) with error-free feedback. However, combining the DFE with channel coding is problematic. Transmitter precoding and reduced-state sequence estimation are two common approaches. This paper introduces a new successively decodable coding technique that effectively combines channel coding with decision-feedback that is housed in the receiver
Keywords :
Gaussian channels; channel capacity; channel coding; decision feedback equalisers; decoding; intersymbol interference; least mean squares methods; sequential estimation; Gaussian channel; ISI channels; MMSE DFE; channel capacity; channel coding; decision-feedback equalizer; error-free feedback; intersymbol interference channels; minimum mean-squared error; receiver; reduced-state sequence estimation; successively decodable coding; transmitter precoding; Channel capacity; Channel coding; Decision feedback equalizers; Decoding; Gaussian channels; Gaussian noise; Intersymbol interference; Mutual information; Random variables; Transmitters;
Conference_Titel :
Information Theory, 2000. Proceedings. IEEE International Symposium on
Conference_Location :
Sorrento
Print_ISBN :
0-7803-5857-0
DOI :
10.1109/ISIT.2000.866392
