Title :
Optimal and suboptimal estimation of mixed rotational observables
Author :
Asher, R.B. ; Marcus, S.I.
Author_Institution :
Texas Tech University, Lubbock, Texas
Abstract :
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.
Keywords :
Books; Electric variables measurement; Noise measurement; Nonlinear equations; Poisson equations; Propulsion; Q measurement; Space vehicles; Stochastic processes; Stochastic resonance;
Conference_Titel :
Decision and Control including the 16th Symposium on Adaptive Processes and A Special Symposium on Fuzzy Set Theory and Applications, 1977 IEEE Conference on
Conference_Location :
New Orleans, LA, USA
DOI :
10.1109/CDC.1977.271709
