By L. T. Leondes
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Additional resources for Advances in Aerospace Systems Dynamics and Control Systems/Part 1 of 3
The dynamics of the target in track is described by Eq. (1), that is, x(k + 1) = F(k)x(k) + v(k). (15) At each time, a validation region is set up, and an arbitrary number of measurements can lie in the region. Among the possibly several validated measurements, at most one of them can be target-originated—if the target was detected and the corresponding measurement fell in the validation region. The true measurement is described by z(k) = H(k)x(k) + w(k). ) random variables with uniform spatial distribution.
ACKNOWLEDGMENT This article is based in part on several earlier papers [37,37a, 40,42]. MOVING-BANK MMAE A N D MMAC ALGORITHMS 29 REFERENCES 1. D. T. M A G I L L , "Optimal Adaptive Estimation of Sampled Stochastic Processes," IEEE Trans Autom. Control AC-10, 434-439 (1965). 2. M. Ä T H A N S and C. B. C H A N G , "Adaptive Estimation and Parameter Identification Using Multiple Model Estimation Algorithm," Tech. Note 1976-28, ESD-TR-76-184, Lincoln Laboratory, Lexington, Massachusetts, June 1976.
25. R. I. SUIZU, "Enhanced Tracking of Airborne Targets Using Multiple Model Filtering Techniques for Adaptive Field-of-View Expansion," M . S. Thesis, A. F. Institute of Technology, Wright-Patterson AFB, Ohio (1983). 26. P. S. M A Y B E C K and R. I. SUIZU, "Adaptive Tracker Field-of-View Variation Via Multiple Model Filtering," IEEE Trans. Aerosp. Electron. Syst. AES-21, 529-539 (1985). 27. D. M . S. Thesis, A. F. Institute of Technology, Wright-Patterson AFB, Ohio (1986). 28. D. M . T O B I N and P.
Advances in Aerospace Systems Dynamics and Control Systems/Part 1 of 3 by L. T. Leondes