State Estimation for Discrete Systems

摘要

The modeling and optimization of the operation of autonomous weapon systems and Intelligence Surveillance Reconnaissance systems that employ an Autonomous Target Recognition module for target classification calls for a theory of state estimation for discrete systems. In this paper, a theory of state estimation for discrete system is developed. A recursive, Kalman filter like state estimation algorithm, for the case where the measurements, taken by an imperfect sensor, are discrete, is presented. The herein developed state estimation algorithm is applicable to the operation of autonomous and mixed initiative systems.