DocumentCode
3743376
Title
When is preview beneficial?
Author
Maxim Kristalny;Leonid Mirkin
Author_Institution
Faculty of Mechanical Eng., Technion-IIT, Haifa 32000, Israel
fYear
2015
Firstpage
2073
Lastpage
2076
Abstract
We analyze the H2 performance of the fixed-lag smoothing problem when the measurement noise intensity is a function of the smoothing lag (preview window). We derive computable necessary and sufficient conditions on the rate of the measurement noise intensity growth as a function of the smoothing lag, under which minuscule preview improves the estimation performance. A sufficient condition in terms of the spectrum of the associated Kalman filter are also derived.
Keywords
"Smoothing methods","Noise measurement","Estimation","Yttrium","Length measurement","Kalman filters","Laser radar"
Publisher
ieee
Conference_Titel
Decision and Control (CDC), 2015 IEEE 54th Annual Conference on
Type
conf
DOI
10.1109/CDC.2015.7402512
Filename
7402512
Link To Document