RECENT DEVELOPMENTS IN BLIND CHANNEL EQUALIZATION - FROM CYCLOSTATIONARITY TO SUBSPACES

Since Tong et al. (1991) demonstrated the feasibility of identifying p ossibly nonminimum phase channels using second-order statistics, consi derable research activity, both in algorithm development and fundament al analysis, has been seen in the area of blind identification of mult iple FIR channels. Many of the recently developed approaches invoke, e ither explicitly or implicitly, the algebraic structure of the data mo del, while some others resort to the use of cyclic correlation/spectra l fitting techniques. The objective of this paper is to establish insi ghtful connections among these studies and present recent developments of blind channel equalization. We also unify various representative a lgorithms into a common theoretical framework.