Title :
A simple algorithm for asymptotically optimal reduced-state sequence estimation
Author :
Kratochwil, Konrad
Author_Institution :
Inst. of Comput. Technol., Vienna Univ. of Technol., Austria
Abstract :
A simple algorithm for reduced-state sequence estimation on channels with intersymbol interference is presented. The algorithm is based on the conventional Viterbi algorithm. The number of states is reduced by discarding trellis-paths based on their (modified) path metric and the minimum Euclidean distance in the trellis. An analysis of the error-event probability shows that the algorithm achieves performance of the maximum likelihood sequence estimator at high signal-to-noise ratios. The computational complexity and memory requirements of the algorithm are derived, the implementation of the algorithm is described in detail and simulation results for a severe ISI channel are provided
Keywords :
Gaussian channels; computational complexity; digital communication; error statistics; intersymbol interference; maximum likelihood estimation; sequences; Viterbi algorithm; asymptotically optimal reduced-state sequence estimation; computational complexity; error-event probability; intersymbol interference; memory requirements; minimum Euclidean distance; path metric; severe ISI channel; trellis-paths; Algorithm design and analysis; Computational complexity; Error analysis; Euclidean distance; Intersymbol interference; Maximum likelihood estimation; Performance analysis; Signal analysis; Signal to noise ratio; Viterbi algorithm;
Conference_Titel :
Universal Personal Communications Record, 1997. Conference Record., 1997 IEEE 6th International Conference on
Conference_Location :
San Diego, CA
Print_ISBN :
0-7803-3777-8
DOI :
10.1109/ICUPC.1997.627258