A Modified Gaussian Sum Approach to Estimation of Non-Gaussian Signals

IEEE Transactions on Aerospace and Electronic Systems

Volumn 29, Issue 2, 1993, Pages 446-451

  Caputi, Mauro J ^a   Moose, Richard L ^b  

^a UNIVERSITY OF THE PACIFIC   (United States)

^b VIRGINIA POLYTECHNIC INSTITUTE AND STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; ESTIMATION; PROBABILITY; RANDOM PROCESSES; SIGNAL FILTERING AND PREDICTION; SPURIOUS SIGNAL NOISE; STATE ESTIMATION;

ESTIMATORS; GAUSSIAN TERMS; NOISE MODELS; SIGNAL MODELS;

SIGNAL THEORY;

EID: 0027574298     PISSN: 00189251     EISSN: None     Source Type: Journal    
DOI: 10.1109/7.210082     Document Type: Article

References (7)

1. Sorenson, H. W., and Alspach, D. L. (1971) Recursive Bayesian estimation using Gaussian sums. Automatica, 7 (1971), 465–479.
2. Magill, D. T. (1965) Optimal adaptive estimation of sampled stochastic processes. IEEE Transactions on Automatic Control, AC-10 (Oct. 1965), 434–439.
3. Moose, R. L. (1975) An adaptive state estimation solution to the maneuvering target problem. IEEE Transactions on Automatic Control, AC-20 (June 1975), 359–362.
4. Caputi, M. J. (1991) Non-Gaussian estimation using a modified Gaussian sum adaptive filter. Ph.D. dissertation, Bradley Dept. of Electrical Engineering, Virginia Polytechnic Institute and State University, Blacksburg, 1991.
5. Howard, R. A. (1971) Dynamic Probabilistic Systems, Volume II: Semi-Markov and Decision Processes. New York: Wiley, 1971.
6. Papoulis, A. (1991) Probability, Random Variables, and Stochastic Processes (3rd ed.). New York: McGraw-Hill, 1991.
7. Stremler, F. G. (1990) Introduction to Communication Systems (3rd ed.). Reading, MA: Addison-Wesley, 1990.