Modelling and equalization of rapidly fading channels

International Journal of Adaptive Control and Signal Processing

Volumn 10, Issue 2, 1996, Pages 159-176

  Tsatsanis, Michail K ^a   Giannakis, Georgios B ^a  

^a University of Virginia   (United States)

Author keywords

Cyclostationary signals; Equalization; Fading channels; Time varying systems

Indexed keywords

ADAPTIVE ALGORITHMS; COMPUTER SIMULATION; ESTIMATION; FADING (RADIO); FEEDBACK; FREQUENCIES; MATHEMATICAL MODELS; RECURSIVE FUNCTIONS; SIGNAL PROCESSING; STATISTICAL METHODS; TIME VARYING CONTROL SYSTEMS;

CYCLOSTATIONARY SIGNALS; EQUALIZATION; FREQUENCY ESTIMATION; RAPIDLY FADING CHANNELS;

COMMUNICATION CHANNELS (INFORMATION THEORY);

EID: 0030110662     PISSN: 08906327     EISSN: None     Source Type: Journal    
DOI: 10.1002/(SICI)1099-1115(199603)10:2/3<159::AID-ACS346>3.0.CO;2-M     Document Type: Article

References (24)

1. Proakis, J., Digital Communications, McGraw-Hill, New York, 1989.
2. Iltis, R. A. and A. W. Fuxjaeger, 'A Digital DS spread-spectrum receiver with joint channel and Doppler shift estimation', IEEE Trans. Commun., COM-39, 1255-1267 (1991).
3. Greenstein, L. and B. Czekaj, 'Modeling multipath fading responses using multitone probing signals and polynomial approximation', Bell Syst. Tech. J., 60, 193-214 (1981).
4. Dandawate, A. V. and G. B. Giannakis, 'Statistical tests for presence of cyclostationarity', IEEE Trans Signal Process., (1994); Vol. 42, no. 9, pp. 2355-2369.
5. Giannakis, G. B. and G. Zhou, 'On amplitude modulated time series, higher-order statistics and cyclostationarity', in Powers, E., B. Boashash and A. Zoubir (eds), Higher-Order Statistical Signal Processing and Applications, Longman Chesire, New York, (in press).
6. Dandawate, A. V. and G. B. Giannakis, 'Ergodic results for non-stationary processes', Proc. 25th Conf. on Information Sciences and Systems, Johns Hopkins University Press, Baltimore, MD, pp. 976-983.
7. Grenier, Y., 'Time-dependent ARMA modeling of nonstationary signals', IEEE Trans. Accoust., Speech, signal Process., ASSP-31, 899-911 (1983).
8. Liporace, L. A., 'Linear estimation of nonstationary signals', J. Acoust. Soc. Am., 58, 1288-1295 (1975).
9. Subba Rao, T., 'The fitting of nonstationary time-series models with time-dependent parameters', J. R. Stat. Soc. B, 32, 312-322 (1970).
10. Hinich, M. J. and R. Roll, 'Measuring nonstationarity in the parameters of the market model,' in Levy, H. (ed.), Research in Finance (A Research Annual), Vol 3, 1981. JAI Press, Greenwich, Connecticut.
11. Tsatsanis, M. K. and G. B. Giannakis, 'Blind equalization of rapidly fading channels', IEEE Trans. Commun., in press.
12. Tsatsanis, M. K. 'On wavelets and time-varying cystem identification', Ph.D. Thesis, University of Virginia, Charlottesville, VA 1992.
13. Tsatsanis, M. K. and G. B. Giannakis, 'Time-varying channel equalization using multiresolution analys', Proc. Int. Symp. on Time-Frequency and Time-Scale Analysis, Victoria, B. C., October 1992, pp. 447-450. IEEE Press, NJ (1992).
14. Tsatsanis, M. K. and G. B. Giannakis, 'Blind equalization of rapidly fading channels via exploitation of cyclostationarity and higher-order statistics', Proc. IEEE Int. Conf. on Acoustics, Speech, and Signal Processing, Minneapolis, MN, April 1993, IEEE, New York, 1993. Vol. IV, pp. 85-89.
15. Rihaczek, A. W., Principles of High-Resolution Radar, Peninsula, CA, 1985. San Francisco.
16. Van Trees, H. L., Detection, Estimation and Modulation Theory: Part III, Radar, Sonar signal Processing and Gaussian Signals in Noise, Wiley, New York, 1971.
17. Haykin, S., Adaptive Filter Theory, Prentic-Hall, Englewood-Cliffs, NJ, 1986.
18. Ljung, L., System Identification: Theory for the User, Prentice-Hall, Englewood Cliffs, NJ, 1987.
19. Grenander, U., 'On the estimation of regression coefficients in the case of an autocorrelated disturbance', Ann. Math. Stat., 25, 252-272 (1954).
20. Brillinger, D. R. Time Series: Data Analysis and Theory, Holden-Day, San Francisco, CA, 1981.
21. Hatzinakos, D. and C. L. Nikias, 'Blind equalization using a tricepstrum based algorithm', IEEE Trans. Commun., COM-38, 669-682 (1991).
22. Hurd, H. L. and N. L. Gerr, 'Graphical methods for determining the presence of periodic correlation', J. Time Series Anal., 12, 337-350 (1991).
23. Dandawate, A. V. and G. B. Giannakis, 'Asymptotic theory of mixed time averages and kth-order cyclic-moment and cumulant statistics', IEEE Trans. Info. Theory, Vol. 41, pp. 216-232, Jan. 1995.
24. Basseville, M. and I. V. Nikiforov, Detection of Abrupt Changes, Theory and Applications, Prentice-Hall, Englewood-Cliffs, N.J., 1993.