Reduced-state sequence estimation of digital sequences indispersive channels using state partitioning |
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| Authors: | Kamel R.E. Bar-Ness Y. |
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| Affiliation: | Dept. of Electr. & Comput. Eng., New Jersey Inst. of Technol., Newark, NJ; |
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| Abstract: | A reduced-state sequence estimator for linear dispersive channels is described. The estimator is based on partitioning the set of all possible channel states in a way that defines a trellis with fewer states, and thus reduces complexity. Such a set partitioning approach provides a good performance/complexity tradeoff. The new technique is a generalisation of that described by Duel-Hallen and Heegard [1989]. The Viterbi algorithm (VA) is used to search for the best path through the reduced state trellis |
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