摘要

In blind identification and equalization, a single-input single-output fractionally spaced system is equivalent to a single-input multiple-output system. In many blind channel identification algorithms, the probabilistic of the input signal is required. But sometimes the input statistical model may not be known or not accurate enough. In this paper, we identified the channel with genetic algorithm, which can work without requiring the knowledge of the input statistical model and require only very few observed data.