Some results on blind identification using tractional sampling

摘要

This paper presents a blind identification method exploiting the prior knowledge of the channel. The received signal is first processed by the filter constructed by the known part of the channel and then blind identification algorithms based on the second-order statistics are applied to the filtered signal. It is shown that, if the unknown part satisfies the identifiability condition, the channel can be identified even though the channel does not satisfy the condition. Simulation results are also presented.