Performance Comparison of Blind Equalization Algorithms for Wireless Communication

Adaptive equalization is an accepted method to mitigate the Inter-Symbol Interference (ISI) in wireless communication. Frequently, adaptive algorithm must needs transmission of well-known training sequence to track the time varying characteristics of the channel and hence make the most of superfluous bandwidth. It is also not viable to have training sequences in all types of transmissions (e. g. non-cooperative environment). Blind algorithm is a concept used to track the time varying characteristics of the channel in the deficiency of training sequence. Nevertheless, it leads to slow convergence. In this paper, the performance of Sato algorithm and Godard based blind algorithm is compared for PAM signal.