Nonlinear effects in LMS adaptive equalizers

IEEE Transactions on Signal Processing

Volumn 47, Issue 6, 1999, Pages 1570-1579

  Reuter, Michael ^a   Zeidler, James R ^a  

^a Naval Command   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE FILTERING; ALGORITHMS; DIGITAL FILTERS; INTERFERENCE SUPPRESSION; OPTIMIZATION; PERFORMANCE; SIGNAL TO NOISE RATIO; TRANSFER FUNCTIONS;

ADAPTIVE EQUALIZERS; ADAPTIVE FILTERS; LEAST MEAN SQUARE METHOD; NONLINEARITIES; WIENER FILTERING;

EQUALIZERS;

EID: 0032654732     PISSN: 1053587X     EISSN: None     Source Type: Journal    
DOI: 10.1109/78.765126     Document Type: Article

References (24)

1. S. U. H. Qureshi, "Adaptive equalization," Proc. IEEE, vol. 73, pp. 1349-1387, Sept. 1985.
2. J. D. Laster and J. H. Reed, "Interference rejection in digital wireless communications," IEEE Signal Processing Mag., vol. 14, pp. 37-62, May 1997.
3. L. Li and L. B. Milstein, "Rejection of CW interference in QPSK systems using decision-feedback filters," IEEE Trans. Commun., vol. COMM-31, pp. 473-83, Apr. 1983.
4. B. Widrow, J. M. McCool, M. G. Larimore, and C. R. Johnson, Jr., "Stationary and nonstationary learning characteristics of the LMS adaptive filter," Proc. IEEE, vol. 64, pp. 1151-1162, Aug. 1976.
5. W. A. Gardner, "Learning characteristics of stochastic-gradient-descent algorithms: A general study, analysis, and critique," Signal Process., vol. 6, no. 2, pp. 113-133, Apr. 1984.
6. S. Haykin, Adaptive Filter Theory, 3rd ed. Englewood Cliffs, NJ: Prentice-Hall, 1996.
7. J. T. Rickard and J. R. Zeidler, "Second-order output statistics of the adaptive line enhancer," IEEE Trans. Acoust., Speech, Signal Processing, vol. ASSP-27, pp. 31-39, Feb. 1979.
8. J. R. Treichler, "Transient and convergent behavior of the adaptive line enhancer," IEEE Trans. Acoust., Speech, Signal Processing, vol. ASSP-27, pp. 53-62, Feb. 1979.
9. N. J. Bershad and O. M. Macchi, "Adaptive recovery of a chirped sinusoid in noise-Part 2: Performance of the LMS algorithm," IEEE Trans. Signal Processing, vol. 39, pp. 595-602, Mar. 1991.
10. M. J. Shensa, "Non-Wiener solutions of the adaptive noise canceller with a noisy reference," IEEE Trans. Acoust., Speech, Signal Processing, vol. ASSP-28, pp. 468-73, Aug. 1980.
11. J. E. Mazo, "On the independence theory of equalizer convergence," Bell Syst. Tech. J., vol. 58, no. 5, pp. 963-993, May/June 1979.
12. R. C. North, R. A. Axford, and J. R. Zeidler, "The performance of adaptive equalization for digital communications systems corrupted by interference," in Proc. AsilomarConf. Signals, Syst. Comput., Monterey, CA, 1993, pp. 1548-1553.
13. S. C. Douglas and W. Pan, "Exact expectation analysis of the LMS adaptive filter," IEEE Trans. Signal Processing, vol. 43, pp. 2863-2871, Dec. 1995.
14. H. J. Butterweck, "A steady-state analysis of the LMS adaptive algorithm without use of the independence assumption," in Proc. IEEE ICASSP, Detroit, MI, 1995, pp. 1404-1407.
15. J. R. Glover, "Adaptive noise canceling applied to sinusoidal interferences," IEEE Trans. Acoust., Speech, Signal Processing, vol. ASSP-25, pp. 484-91, Dec. 1977.
16. P. M. Clarkson and P. R. White, "Simplified analysis of the LMS adaptive filter using a transfer function approximation," IEEE Trans. Acoust., Speech, Signal Processing, vol. ASSP-35, pp. 987-993, July 1987.
17. J. G. Proakis, Digital Communications, 2nd ed. New York: McGraw-Hill, 1989.
18. D. L. Duttweiler, J. E. Mazo, and D. G. Messerschmitt, "An upper bound on the error probability in decision-feedback equalization," IEEE Trans. Inform. Theory, vol. IT-20, pp. 490-97, July 1974.
19. A. Papoulis, Probability, Random Variables, and Stochastic Processes, 2nd ed. New York: McGraw-Hill, 1984.
20. K. Quirk, J. R. Zeidler, and L. B. Milstein, "Bounding the performance of the LMS estimator for cases where performance exceeds that of the finite Wiener filter," in Proc. IEEE ICASSP, Seattle, WA, 1998, pp. 1417-1420.
21. H. J. Butterweck, "The independence assumption: A dispensable tool in adaptive filter theory," Signal Process., vol. 57, no. 3, pp. 305-310, Mar. 1997.
22. A. K. Jain, Fundamentals of Digital Image Processing. Englewood Cliffs, NJ: Prentice-Hall, 1989.
23. I. S. Gradshteyn and I. M. Ryzhik, Table of Integrals, Series, and Products, 4th ed. San Diego, CA: Academic, 1980.
24. A. Papoulis, The Fourier Integral and Its Applications. New York: McGraw-Hill, 1962.