© 1986 by Institute of Mathematics and its Applications
Estimation of the Rate of a Doubly Stochastic Time-Space Poisson Process
Electrical Engineering Department, University of Maryland, College Park Maryland 20742, U.S.A.
We consider the problem of estimating the rate of a doubly stochastic, time-space Poisson process when the observations are restricted to a region D
R2, and assuming that the rate process has a Gaussian form. In the case D=R2, we extend a known result to compute the minimum-mean-square-error (MMSE) estimate explicitly. When D
R2, we consider the use of linear estimates. We give closed-form expressions for the mean and the covariance of the rate process in terms of the mean and the covariance of an underlying state process. This enables us to write down a well-defined integral equation which determines the linear MMSE estimate of the rate.