Brief paper: Random sampling approach to state estimation in switching environments
Automatica (Journal of IFAC)
Derivation and evaluation of improved tracking filter for use in dense multitarget environments
IEEE Transactions on Information Theory
Truncation nonlinear filters for state estimation with nonlinear inequality constraints
Automatica (Journal of IFAC)
Brief paper: Detection and estimation for abruptly changing systems
Automatica (Journal of IFAC)
On identification and adaptive estimation for systems with interrupted observations
Automatica (Journal of IFAC)
Hi-index | 22.15 |
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.