Optimal and suboptimal estimation of mixed rotational observables

This paper considers the estimation of mixed rotational and doubly stochastic Poisson process observables. The estimation structure for the general nonlinear problem is obtained using Kushner's method for the development of the differential equations for the evolution of the conditional probability density functions.