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IMA Journal of Mathematical Control and Information 1986 3(4):273-281; doi:10.1093/imamci/3.4.273
© 1986 by Institute of Mathematics and its Applications
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Estimation of the Rate of a Doubly Stochastic Time-Space Poisson Process

JOHN GUBNER and PRAKASH NARAYAN

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{subseteq}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.


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