Interacting multiple models for single-user channel estimation and equalization
Mohamed Hisham Jaward, Visakan Kadirkamanathan · 2002
A blind sequence estimation algorithm based on an interacting multiple model (IMM) 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 based equalizer is studied and compared with a well known algorithm, DDFSE (delayed decision-feedback sequence estimation).