A combined detection-estimation scheme is proposed for state estimation in linear systems with random Markovian noise statistics. The optimal MMSE estimator requires exponentially increasing memory and computations with time. The proposed approach is an attempt to circumvent this problem. Simulation results are presented which show the advantages of the proposed scheme over some of the existing suboptimal approaches.
- estimation in uncertain observations
- nonlinear estimation and filtering
- switched environment
ASJC Scopus subject areas
- Control and Systems Engineering
- Electrical and Electronic Engineering