DocumentCode
818672
Title
An adaptive state estimation solution to the maneuvering target problem
Author
Moose, Richard L.
Author_Institution
Virginia Polytechnic Institute and State University, Blacksburg, VA, USA
Volume
20
Issue
3
fYear
1975
fDate
6/1/1975 12:00:00 AM
Firstpage
359
Lastpage
362
Abstract
A new approach to tracking a maneuvering target is presented. Modeling the randomly varying target as a semi-Markov process and then incorporating the statistics into the design of an adaptive state estimator produced an estimation scheme that greatly reduced the large bias errors that usually appear when a target makes an unexpected, large-scale maneuver.
Keywords
Adaptive estimation; Linear systems, stochastic discrete-time; State estimation; Tracking; Adaptive filters; Equations; Error analysis; Gaussian noise; Large-scale systems; Mathematical analysis; Random variables; State estimation; Target tracking; Underwater vehicles;
fLanguage
English
Journal_Title
Automatic Control, IEEE Transactions on
Publisher
ieee
ISSN
0018-9286
Type
jour
DOI
10.1109/TAC.1975.1100961
Filename
1100961
Link To Document