Interacting multiple models for single-user channel estimation and equalization
نویسندگان
چکیده
In this paper, a blind sequence estimation algorithm based on interacting multiple model is introduced to estimate the channel and the transmitted sequence corrupted by ISI (intersymbol interference) and noise. The proposed algorithm avoids the exponential growth complexity caused by increasing channel memory length. The performance of the IMM (interacting multiple model) based equalizer is studied and compared with the well known algorithm like DDFSE (Delayed Decision-Feedback Sequence Estimation).
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