Undermodeled equalization: a characterization of stationary points for a family of blind criteria

IEEE Transactions on Signal Processing

Volumn 47, Issue 3, 1999, Pages 760-770

  Regalia, Phillip A ^a   Mboup, Mamadou ^b  

^a INSTITUT NATIONAL DES TÉLÉCOMMUNICATIONS   (France)

^b UNIVERSITÉ PARIS DESCARTES   (France)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMMUNICATION CHANNELS (INFORMATION THEORY); CONVERGENCE OF NUMERICAL METHODS; EQUALIZERS;

UNDERMODELED EQUALIZATION;

SIGNAL FILTERING AND PREDICTION;

EID: 0033101967     PISSN: 1053587X     EISSN: None     Source Type: Journal    
DOI: 10.1109/78.747781     Document Type: Article

References (19)

1. L. Tong. Xu, and T. Kailath, "Blind identification based on second-order statistics: A time domain approach," IEEE Trans. Inform. Theory, vol. 40, pp. 340-349, Mar. 1994.
2. E. Moulines. Duhamel, J.-F. Cardoso, and S. Mayrargue, "Subspace methods for the blind identification of multichannel FIR filters," IEEE Trans. Signal Processing, vol. 43, pp. 516-525, Feb. 1995.
3. D. T. M. SlockBlind fractionally-spaced equalization, perfect reconstruction filter banks, and multichannel prediction," in Proc. ICASSP, Adelaide, Australia, Apr. 1994, vol. 4, pp. 585-588.
4. Y. Li and Z. DingGlobal convergence of fractionally spaced Godard (CMA) adaptive equalizers," IEEE Trans. Signal Processing, vol. 44, pp. 818-826, Apr. 1996.
5. O. Shalvi and E. WeinsteinSuper-exponential methods for blind deconvolution," IEEE Trans. Inform. Theory, vol. 39, pp. 504-519, Mar. 1993.
6. Z. DingOn convergence analysis of fractionally spaced adaptive blind equalizers," IEEE Trans. Signal Processing, vol. 45, pp. 650-657, Mar. 1997.
7. D. N. GodardSelf-recovering equalization and carrier tracking in two-dimensional data communication systems," IEEE Trans. Commun., vol. COMM-28, pp. 1867-1875, Nov. 1980.
8. O. Shalvi and E. WeinsteinNew criteria for blind deconvolution of nonminimum phase systems (channels)," IEEE Trans. Inform. Theory, vol. 36, pp. 312-321, Mar. 1990.
9. D. DonohoOn minimum entropy deconvolution," in Applied Time Series Analysis II, D. F. Findley, Ed. New York: Academic, 1981.
10. J. R. Treichler and B. G. AgeeA new approach to multipath correction of constant modulus signals," IEEE Trans. Acoust., Speech, Signal Processing, vol. ASSP-31, pp. 459-472, Apr. 1983.
11. J. M. MendelTutorial on higher order statistics (spectra) in signal processing and system theory: Theoretical results and some applications," Proc. IEEE, vol. 79, pp. 278-305, Mar. 1991.
12. P. A. RegaliaOn the equivalence between the Godard and Shalvi-Weinstein schemes of blind equalization," accepted for publication in Signal Process.
13. 13D. G. Luenberger, Optimization by Vector Space Methods. New York: Wiley, 1969.
14. R. T. Rockafellaronvex Analysis. Princeton, NJ: Princeton Univ. Press, 1970.
15. I. Fijalkow. Touzni, and J. R. Treichler, "Fractionally spaced equalization using CMA: Robustness to channel noise and lack of disparity," IEEE Trans. Signal Processing, vol. 45, pp. 56-66, Jan. 1997.
16. H. Zeng and L. TongThe MSE performance of constant modulus receivers," in Proc. ICASSP, Munich, Germany, Apr. 1997, vol. 5, pp. 3577-3580.
17. J. G. Proakisigital Communications. New York: McGraw-Hill, 1983.
18. Y. Li. J. R. Liu, and Z. Ding, "Length- and cost-dependent local minima of unconstrained blind channel equalizers," IEEE Trans. Signal Processing, vol. 44, pp. 2726-2735, Nov. 1996.
19. I. Fijalkow and Ph. LoubatonIdentification of rank one rational spectral densities from noisy observations," Syst. Contr. Lett., vol. 24, pp. 201-205, 1995.