A novel constrained-Viterbi algorithm with linear equalization and grouping assistance

In this paper, we propose a novel linear equalization and progressive grouping-assisted constrained Viterbi algorithm (LEG-CVA) as a near-maximum likelihood sequence estimation (MLSE) approach for the downlink. The simulation results show that the reduced-complexity algorithm is highly attractive with large system dimensions such as those in the time-duplexing high speed packet access (TD-HSPA) system, where the proposed algorithm outperforms traditional detection techniques.

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