Using Nonlinear Filter for Adaptive Blind Channel Equalization

InterSymbol Interference (ISI) of the radio propagation through channels is a major factor that limits the performance of mobile communication systems and can be compensated by equalization. One of the basic groups of equalizers is based on linear algorithms. In this paper, we propose the other method based on Hammerstein filter as a nonlinear memoryless blind equalizer. We have compared these two methods by simulation and have shown that the latter method results have better performance compared to the former ones; i.e. the Hammerstein filter introduces lower BER than linear algorithms, so makes it a viable alternative to former equalizers. For all methods studied in this paper, blind equalization is assumed. At last blind Hammerstein equalizer analyzed in order to study its convergence capability and unbiased property.