Estimation and tracking of complex-valued quasi-periodically varying systems

Automatica

Volumn 41, Issue 9, 2005, Pages 1503-1516

  Niedźwiecki, MacIej ^a   Kaczmarek, Piotr ^a  

^a GDANSK UNIVERSITY OF TECHNOLOGY   (Poland)

Author keywords

Basis function approach; Frequency estimation; System identification; Time varying processes

Indexed keywords

COMMUNICATION CHANNELS (INFORMATION THEORY); DISCRETE TIME CONTROL SYSTEMS; ERROR ANALYSIS; FUNCTIONS; IDENTIFICATION (CONTROL SYSTEMS); PROBLEM SOLVING; SIGNAL PROCESSING;

BASIS FUNCTION APPROACH; FREQUENCY ESTIMATION; TIME VARYING PROCESSES;

LARGE SCALE SYSTEMS;

EID: 22344443765     PISSN: 00051098     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.automatica.2005.04.011     Document Type: Article

References (23)

1. R.T. Aiken Communication over the discrete-path fading channel IEEE Transactions on Information Theory IT-13 1967 346 347
2. J. Bakkoury, D. Roviras, M. Ghogho, and F. Castanie Adaptive MLSE receiver over rapidly fading channels Signal Processing 80 2000 1347 1360
3. M.V. Dragošević, and S.S. Stanković An adaptive notch filter with improved tracking properties IEEE Transactions on Signal Processing 43 1995 2068 2077
4. M.V. Dragošević, and S.S. Stanković Fully adaptive constrained notch filter for tracking multiple frequencies Electronics Letters 31 1995 1215 1217
5. G.B. Giannakis, and C. Tepedelenlioǧlu Basis expansion models and diversity techniques for blind identification and equalization of time-varying channels Proceedings of the IEEE 86 1998 1969 1986
6. P. Händel, P. Tichavský, and S.M. Savaresi Large error recovery for a class of frequency tracking algorithms International Journal on Adaptive Control and Signal Processing 12 1998 417 436
7. T.W. Hilands, and S.C.A. Thomopoulos Nonlinear filtering method for harmonic retrieval and model order selection in Gaussian and non-Gaussian noise IEEE Transactions on Signal Processing 45 1997 982 995
8. L.M. Li, and L.B. Milstein Rejection of pulsed CW interference in PN spread-spectrum systems using complex adaptive filters IEEE Transactions on Communications CM-31 1983 10 20
9. M. Niedźwiecki Recursive functional series modeling approach to identification of time-varying plants - more bad news than good? IEEE Transactions on Automatic Control AC-35 1990 610 616
10. M. Niedźwiecki Identification of time-varying processes 2000 Wiley New York
11. Niedźwiecki, M., & Kaczmarek, P. (2004a). New approach to identification of quasi-periodically varying systems. 10th IEEE international conference on methods and models in automation and robotics, Miȩdzyzdroje, Poland, pp. 1045-1050.
12. Niedźwiecki, M., & Kaczmarek, P. (2004b). Generalized adaptive notch filters for identification of real quasi-periodically varying systems. 12th European signal processing conference (EUSIPCO 2004), Vienna, Austria, pp. 1915-1918.
13. Niedźwiecki, M., & Kaczmarek, P. (2005). Tracking analysis of a generalized adaptive notch filter. Technical report ETI-1/2005, Gdańsk University of Technology. IEEE Transactions on Signal Processing, to appear.
14. M. Niedźwiecki, and T. Kłaput Fast algorithms for identification of periodically varying systems IEEE Transactions on Signal Processing 51 2003 3270 3279
15. K. Nishiyama A nonlinear multiple complex sinusoidal estimator IEICE Transactions on Fundamentals E83 2000 497 506
16. Padmanabham, M., & Tichavský, P. (1996). Hyperstable adaptive line enhancer for tracking of multiple noisy cisoids. Proceedings of the eighth European signal processing conference (EUSIPCO-96), Trieste, Italy, pp. 1271-1274.
17. P.J. Parker, and B.D.O. Anderson Frequency tracking of nonsinusoidal periodic signals in noise Signal Processing 20 1990 127 152
18. S.-C. Pei, and C.-C. Tseng Complex adaptive IIR notch filter algorithm and its applications IEEE Transactions on Circuits and Systems 41 1994 158 163
19. T. Söderström, and P. Stoica System identification 1988 Prentice-Hall Englewood Cliffs, NJ
20. T. Subba Rao The fitting of non-stationary time-series models with time-dependent parameters Journal of the Royal Statistical Society, Series B 32 1970 312 322
21. P. Tichavský, and P. Händel Two algorithms for adaptive retrieval of slowly time-varying multiple cisoids in noise IEEE Transactions on Signal Processing 43 1995 1116 1127
22. P. Tichavský, and A. Nehorai Comparative study of four adaptive frequency trackers IEEE Transactions on Signal Processing 45 1997 1473 1484
23. M.K. Tsatsanis, and G.B. Giannakis Modeling and equalization of rapidly fading channels International Journal on Adaptive Control and Signal Processing 10 1996 159 176