A PDF Estimation-Based Blind Criterion for Adaptive Equalization
Charles C. Cavalcante, Francisco R. P. Cavalcanti, João Mota · Anais do 2002 International Telecommunications Symposium · 2002
A blind criterion for adaptive equalization based on probability density function (pdf) estimation is proposed.The criterion measures the divergence between the pdf of an ideally equalized signal and the one from a parametric model resulting in a cost function that is a sort of entropy minimization of the equalizer output signal.It is also shown a link between the constant modulus (CM) criterion and the proposed one under certain circumstances.Some convergence properties are studied and the performance of the proposal is evaluated through simulations faced to a classical blind criterion.