Title :
Reduced-state sequence estimation of digital sequence in the presence of intersymbol interference using state partitioning
Author :
Kamel, Raafat E. ; Bar-Ness, Yeheskel
Author_Institution :
Center for Commun. & Signal Process. Res., New Jersey Inst. of Technol., Newark, NJ, USA
fDate :
27 Jun-1 Jul 1994
Abstract :
A reduced-state sequence estimator for linear dispersive channels is described. The technique is based on partitioning the set of all possible channel states in a way that defines a trellis with fewer states resulting in reduced complexity. The new technique results in a generalization of trellises that were previously obtained in Duel-Hallen and Heegard (IEEE Trans. on Communications, vol. COM 37, p.428-36). The Viterbi algorithm (VA) is used to search for the best path through the reduced state trellis
Keywords :
computational complexity; digital communication; estimation theory; intersymbol interference; maximum likelihood estimation; parameter estimation; reduced order systems; search problems; sequences; telecommunication channels; trellis codes; Viterbi algorithm; best path; channel states; complexity; digital sequence; intersymbol interference; linear dispersive channels; partitioning; reduced state trellis; reduced-state sequence estimation; state partitioning; Additive noise; Constellation diagram; Dispersion; Gaussian noise; Intersymbol interference; Maximum likelihood estimation; Power generation; Sequences; State estimation; Viterbi algorithm;
Conference_Titel :
Information Theory, 1994. Proceedings., 1994 IEEE International Symposium on
Conference_Location :
Trondheim
Print_ISBN :
0-7803-2015-8
DOI :
10.1109/ISIT.1994.394820
