SIAM Journal on Control and Optimization, Vol.47, No.6, 2886-2911, 2008
ON THE LINEAR-EXPONENTIAL FILTERING PROBLEM FOR GENERAL GAUSSIAN PROCESSES
The explicit solution of the filtering problem with exponential criteria for a general Gaussian signal is obtained through an approach which is based on a conditional Cameron-Martin-type formula. This key formula is derived for conditional expectations of exponentials of some quadratic functionals of a general continuous Gaussian process. The formula involves conditional expectations and conditional covariances in some auxiliary optimal risk-neutral filtering problem which is used in the proof. Closed form equations of the Ito-Volterra-and Riccati-Volterra-types for these ingredients are provided. Particular cases for which the results can be further elaborated are investigated.
Keywords:Gaussian process;optimal filtering;filtering error;Riccati-Volterra equation;risk-sensitive filtering;exponential criteria