论文信息 - Probability density functions of channel estimation for MLSE in optical communications

Probability density functions of channel estimation for MLSE in optical communications

In this paper, we propose an effective possibility density functions method of channel estimation with Viterbi algorithm based on transitions. We also investigate the performance of the electronic dispersion compensation schemes via this new channel estimation method. The schemes Simulation results show that it exhibits the similar performance with the sophisticated MLSE scheme.

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