DocumentCode
2076620
Title
Probability density update for a distributed system based on unnormalized local densities
Author
McCullough, Claire L.
Author_Institution
Dept. of Electr. & Comput. Eng., Alabama Univ., Huntsville, AL, USA
fYear
1989
fDate
26-28 Mar 1989
Firstpage
38
Lastpage
41
Abstract
A method for producing a normalized probability density for a global system state constructed from the unnormalized densities of the local models is given and proved. The local densities are required to be solutions to Kushner´s equation, which is unsolvable in the general case. The formulation uses unnormalized local densities, which are solutions of the more tractable Zakai equation, and yet produces the same normalized density for the global system as the previous method. It is applicable to a much wider variety of problems for which the Zakai equation is solvable and Kushner´s equation is not
Keywords
computational complexity; estimation theory; probability; Kushner´s equation; Zakai equation; distributed system; local densities; normalized probability density; unnormalized local densities; Filtering; History; Noise measurement; Nonlinear equations; Parallel processing; Performance evaluation; State estimation; Statistical distributions; Stochastic systems; Time measurement;
fLanguage
English
Publisher
ieee
Conference_Titel
System Theory, 1989. Proceedings., Twenty-First Southeastern Symposium on
Conference_Location
Tallahassee, FL
ISSN
0094-2898
Print_ISBN
0-8186-1933-3
Type
conf
DOI
10.1109/SSST.1989.72430
Filename
72430
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