Nonlinear Filtering of Non-Gaussian Noise

Journal of Intelligent and Robotic Systems: Theory and Applications

Volumn 19, Issue 2, 1997, Pages 207-231

  Plataniotis, K N ^a   Androutsos, D ^a   Venetsanopoulos, A N ^a  

^a UNIVERSITY OF TORONTO   (Canada)

Author keywords

Adaptive algorithms; Gaussian mixtures; Kalman filter; Narrowband interference; Non Gaussian filtering

Indexed keywords

ADAPTIVE ALGORITHMS; INTERFERENCE SUPPRESSION; KALMAN FILTERING;

NARROWBAND INTERFERENCE; NON GAUSSIAN NOISE; NONLINEAR FILTERING;

ADAPTIVE FILTERING;

EID: 0031165486     PISSN: 09210296     EISSN: None     Source Type: Journal    
DOI: 10.1023/A:1007974400149     Document Type: Article

References (17)

1. Candy, J. V.: Signal Processing: The Model-Based Approach, McGraw-Hill, New York, 1986.
2. Pitas, I. and Venetsanopoulos, A. N.: Nonlinear Digital Filters: Principles and Applications, Kluwer Academic Publishers, Norwell, MA, 1990.
3. Huber, P. J.: Robust estimation of a location parameter, Ann. Math. Statist. 35 (1964), 73-101.
4. Middleton, D.: Man-made noise in urban environments and transportation systems, IEEE Trans. on Communications COM-21 (1973), 1232-1241.
5. Middleton, D.: Canonical non-Gaussian noise models: Their implication for measurement and for prediction of receiver performance, IEEE Trans. Electromagn. Compat. EMC-21 (1979), 209-219.
6. Achieser, N. I.: Theory of Approximation, translated by C. T. Hyman, Frederic Ungar, New York, 1956.
7. Namera, T. and Stubberud, A. L.: Gaussian sum approximation for nonlinear fixed-point prediction, Internat. J. Control 38(5) (1983), 1047-1053.
8. Vastola, K. S.: Threshold detection in narrowband non-Gaussian noise, IEEE Trans. on Communications COM-32 (1984), 134-139.
9. Garth, L. M. and Poor, H. V.: Narrowband interference suppression in impulsive channels, IEEE Trans. on Aerospace and Electronic Systems AES-28 (1992), 15-35.
10. Sorenson, H. and Alspach, D. L.: Recursive Bayesian estimation using Gaussian sum, Automatica 7 (1971), 465-479.
11. Alspach, D. L. and Sorenson, H.: Nonlinear Bayesian estimation using Gaussian sum approximations, IEEE Trans. on Automatic Control AC-17(4) (1972), 439-448.
12. Masreliez, C. J.: Approximate non-Gaussian filtering with linear state and observation relations, IEEE Trans. on Automatic Control AC-20 (1975), 107-110.
13. Masreliez, C. J. and Martin, R. D.: Robust Bayesian estimation for the linear model and robustifying the Kalman filter, IEEE Trans. on Automatic Control AC-22 (1977), 361-371.
14. Wu, Weng-Rong and Yu, F. F.: New nonlinear algorithms for estimating and suppressing narrowband interference in DS spread spectrum systems, IEEE Trans. on Communications 44(4) (1996), 508-515.
15. Fukunaga, K.: Introduction to Statistical Pattern Recognition, Second Edition, Academic Press, London, 1990.
16. Vijayan, R. and Poor, H. V.: Nonlinear techniques for interference suppression in spread-spectrum systems, IEEE Trans. on Communications COM-38 (1990), 1060-1065.
17. Plataniotis, K. N.: Distributed parallel processing state estimation algorithms, PhD Dissertation, Florida Institute of Technology, Melbourne, Florida, 1994.