Title
Fixed-Lag Maximum Likelihood Fir Smoother For State-Space Models
Abstract
In this paper, we propose a new fixed-lag maximum likelihood smoother with a finite impulse response ( FIR) structure for discrete-time state-space models. This smoother is called a maximum likelihood FIR smoother ( MLFS). The MLFS is linear with the most recent finite outputs and does not require a prior initial state information on a receding horizon. It is shown that the proposed MLFS possesses the unbiasedness property and the deadbeat property. Simulation study illustrates that the proposed MLFS is more robust against uncertainties and faster in convergence than the conventional fixed-lag Kalman smoother.
Year
DOI
Venue
2008
10.1587/elex.5.11
IEICE ELECTRONICS EXPRESS
Keywords
Field
DocType
fixed-lag smoother, maximum likelihood, FIR structure, unbiasedness property, deadbeat property
Convergence (routing),Kalman smoother,State information,Control theory,Horizon,Maximum likelihood,Finite impulse response,State space,Lag,Mathematics
Journal
Volume
Issue
ISSN
5
1
1349-2543
Citations 
PageRank 
References 
10
0.73
0
Authors
2
Name
Order
Citations
PageRank
Choon Ki Ahn1121881.53
Pyung Soo Kim220627.65