Matched pdf-based blind equalization
In this paper, a new blind equalization algorithm for multilevel modulations is proposed. It is based on maximizing the correlation between the probability density function (pdf) of the signal at the output of the equalizer and the desired pdf. The algorithm employs the Parzen window method to estimate the pdf of the squared modulus of the equalizer output. A stochastic gradient-based algorithm is used to maximize the correlation between this pdf and the pdf of the corresponding modulation. The proposed algorithm shows an excellent performance when compared with conventional adaptive blind algorithms, such as CMA, in quadrature amplitude modulation (QAM) schemes.