The Expectation-Maximization Viterbi Algorithm for Blind Adaptive Channel Equalization
IEEE Transactions on Communications2005Vol. 53(10), pp. 1671–1678
Citations Over TimeTop 10% of 2005 papers
Abstract
A blind maximum-likelihood equalization algorithm is described and its convergence behavior is analyzed. Since the algorithm employs the Viterbi algorithm (VA) to execute the expectation step of the expectation-maximization (EM) iteration, we call it the expectation-maximization Viterbi algorithm (EMVA). An EMVA-based blind channel-acquisition technique which achieves a high global convergence probability is developed. The performance of the method is evaluated via numerical simulations under static and fading channel conditions.
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