Analysis of modified "Bussgang" algorithms (MBAs) for channel equalization

IEEE Transactions on Circuits and Systems I: Regular Papers

Volumn 51, Issue 8, 2004, Pages 1552-1560

  Fiori, Simone ^a  

^a UNIVERSITY OF PERUGIA   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE FILTERING; COMMUNICATION CHANNELS (INFORMATION THEORY); COMPUTATIONAL COMPLEXITY; DIGITAL FILTERS; EQUALIZERS; ESTIMATION; ITERATIVE METHODS;

BAYESIAN ESTIMATION; BERNOULLI NUMBERS; BLIND CHANNEL EQUALIZATION; DIGITAL ADAPTIVE FILTERING;

BLIND SOURCE SEPARATION;

EID: 4344675304     PISSN: 10577122     EISSN: None     Source Type: Journal    
DOI: 10.1109/TCSI.2004.832721     Document Type: Article

References (22)

1. E. J. Barbeau, Polynomials. New York: Springer-Verlag, 1989.
2. S. Bellini, "Blind equalization," Alta Freq., vol. 57, pp. 445-450, 1988.
3. A. Benveniste, M. Goursat, and G. Ruget, "Robust identification of a nonminimum phase system: Blind adjustment of a linear equalizer in data communication," IEEE Trans. Automat. Contr., vol. AC-25, pp. 385-399, June 1980.
4. T. Bertozzi, D. Le Ruyet, G. Rigal, and H. Vu Thien, "Joint data-channel estimation using the particle filtering on multipath fading channels," in Proc. 10th Int. Conf. Telecommunications (ICT'03), Tahiti, French Polynesia, Feb. 23-Mar. 1, 2003.
5. C. Cafforio, C. Prati, and F. Rocca, "Full resolution focusing of seasat SAR images in the frequency-wavenumber domain," Int. J. Remote Sensing, vol. 12, pp. 491-510, 1991.
6. S. Choi, S. Ong, J. Cho, C. You, and D. Hong, "Performances of neural equalizers on partial erasure model," IEEE Trans. Magn., vol. 33, pp. 2788-2790, Sept. 1997.
7. Z. Ding and Y. Li, Blind Equalization and Identification. New York: Marcel Dekker, 2001.
8. S. Fiori, "A contribution to (neuromorphic) blind deconvolution by flexible approximated Bayesian estimation," Signal Processing, vol. 81, no. 10, pp. 2131-2153, 2001.
9. S. Fiori, "Blind deconvolution by simple adaptive activation function neuron," Neurocomput., vol. 48, no. 1-4, pp. 763-778, 2002.
10. S. Fiori, "Fast fixed-point neural blind deconvolution algorithm," IEEE Trans. Neural Networks, vol. 15, pp. 455-459, Mar. 2004.
11. M. Ghosh and C. L. Weber, "Blind deconvolution using a maximum likelihood channel estimator," in Proc. 10th Ann. Int. Phoenix Conf. Computers Communications, 1991, pp. 448-452.
12. D. N. Godard, "Self recovering equalization and carrier tracking in two-dimensional data communication system," IEEE Trans. Commun., vol. COM-28, pp. 1867-1875, Nov. 1980.
13. R. Godfrey and F. Rocca, "Zero memory nonlinear deconvolution," Geophys. Prospecting, vol. 29, pp. 189-228, Apr. 1981.
14. S. Haykin, "Blind deconvolution," in Adaptive Filter Theory. Englewood Cliffs, NJ: Prentice-Hall, 1991, ch. 20.
15. J. R. Hopgood and P. J. W. Rayner, "Bayesian single channel blind deconvolution using parametric signal and channel models," in Proc. IEEE Workshop Applications of Signal Processing to Audio and Acoustics, 1999, pp. 151-154.
16. G.-K. Lee, S. B. Gelfand, and M. P. Fitz, "Bayesian techniques for blind deconvolution," IEEE Trans. Commun., vol. 44, pp. 826-835, July 1996.
17. A. B. Marchant, Optical Engineering: A Technical Overview. Reading, MA: Addison Wesley, 1996.
18. A. Neri, G. Scarano, and G. Jacovitti, "Bayesian iterative method for blind deconvolution," in Proc. SPIE Adaptive Signal Processing, vol. 1565, S. Haykin, Ed., 1991, pp. 196-208.
19. Y. Sato, "A method for self-recovering equalization for multilevel amplitude-modulation sistem," IEEE Trans. Commun., vol. COM-23, pp. 679-682, June 1975.
20. O. Shalvi and E. Weinstein, "New criteria for blind deconvolution of nonmimimum phase systems (channels)," IEEE Trans. Inform. Theory, vol. IT-36, pp. 312-321, Mar. 1990.
21. R. A. Wiggins, "Minimum entropy deconvolution," Geoexplor., vol. 16, pp. 21-35, 1978.
22. D. Zwillinger, Ed., CRC Standard Mathematical Tables and Formulae, 30th ed. Boca Raton, FL: CRC Press, 1996.