Fractional sampling has received considerable interest recently as a means of developing blind equalization techniques without resorting to higher order statistics. Instead, cyclostationarity introduced at the receiver by fractional sampling is exploited. In this paper, we show that simpler solutions are possible if cyclostationarity is introduced at the transmitter instead of the receiver. We propose specific coding and interleaving strategies at the transmitter that induce cyclostationarity and facilitate the equalization task. Novel batch and adaptive equalization algorithms are derived that make no assumptions on the channel zeros locations. Subspace methods are also proposed and, in the absence of noise, guarantee perfect estimation from finite data. Synchronization issues and bandwidth considerations are briefly discussed, and simulation examples are presented.
Bibliographical noteFunding Information:
Manuscript received September 8, 1995; revised February 19, 1997. This work was supported by the National Science Foundation under Grant NSF-MIP 9424305. The associate editor coordinating the review of this paper and approving it for publication was Dr. Jitendra Tugnait. M. K. Tsatsanis is with the Electrical Engineering and Computer Science Department, Stevens Institute of Technology, Hoboken, NJ 07030 USA. G. B. Giannakis is with the Department of Electrical Engineering, University of Virginia, Charlottesville, VA 22903-2442 USA. Publisher Item Identifier S 1053-587X(97)04956-8.