On fractionally-spaced blind adaptive equalization under symbol timing offsets using Godard and related equalizers

The problem of fractionally-spaced (FS) blind adaptive equalization under symbol-timing-phase offsets is considered. It is well-known that in the case of trained (non-blind) equalizers, the performance of FS equalizers is independent of the timing-phase unlike that of baud-rate equalizers. Moreover, trained FS equalizers synthesize optimal filters in the MMSE sense, and hence are superior to baud-rate trained equalizers. These advantages of trained FS equalizers have not been shown to be true for blind equalizers, rather they have been simply assumed. The authors present a simulation example where such advantages do not materialize. Then they present a solution based upon a parallel, multimodel Godard adaptive filter bank approach which yields a performance almost invariant w.r.t. symbol-timing-phase. An illustrative simulation example 16-QAM (V22 source) signal is presented where the effect of symbol-timing-phase offset is studied via computer simulations.

[1]  Jitendra K. Tugnait On blind identifiability of multipath channels using fractional sampling and second-order cyclostationary statistics , 1995, IEEE Trans. Inf. Theory.

[2]  Jitendra K. Tugnait,et al.  A parallel multimodel: CMA/Godard adaptive filter bank approach to fractionally-spaced blind adaptive equalization , 1994, Proceedings of ICC/SUPERCOMM'94 - 1994 International Conference on Communications.

[3]  D. Godard,et al.  Self-Recovering Equalization and Carrier Tracking in Two-Dimensional Data Communication Systems , 1980, IEEE Trans. Commun..

[4]  John J. Shynk,et al.  Comparative performance study of several blind equalization algorithms , 1991, Optics & Photonics.

[5]  Zhi Ding,et al.  Ill-convergence of Godard blind equalizers in data communication systems , 1991, IEEE Trans. Commun..

[6]  Lang Tong,et al.  A new approach to blind identification and equalization of multipath channels , 1991, [1991] Conference Record of the Twenty-Fifth Asilomar Conference on Signals, Systems & Computers.

[7]  Jitendra K. Tugnait,et al.  On improving the convergence of constant modulus algorithm adaptive filters , 1993, 1993 IEEE International Conference on Acoustics, Speech, and Signal Processing.

[8]  R. D. Gitlin,et al.  Fractionally-spaced equalization: An improved digital transversal equalizer , 1981, The Bell System Technical Journal.

[9]  G. J. Foschini,et al.  Equalizing without altering or detecting data , 1985, AT&T Technical Journal.

[10]  John G. Proakis,et al.  Digital Communications , 1983 .