Source correlation compensation for blind channel identification based on second-order statistics

Presents a source correlation compensation approach for the blind channel identification method proposed by Tong et al. [1991, 1994]. Instead of assuming independent and identically distributed (i.i.d.) source symbols as assumed by Tong et al., the present authors consider the case where each source symbol is weakly correlated to its nearest neighbors with an unknown correlation coefficient. They show how Tong´s method can be simply modified so that the unknown correlation coefficient can be estimated and then compensated, which leads to an improved performance.<>