DocumentCode
814694
Title
Theory and application of adaptive fading memory Kalman filters
Author
Lee, T. Sen
Author_Institution
MIT Lincoln Lab., Lexington, MA, USA
Volume
35
Issue
4
fYear
1988
fDate
4/1/1988 12:00:00 AM
Firstpage
474
Lastpage
477
Abstract
To resolve difficulties encountered in estimating rigid body motion from noisy radar measurements, the behavior of an adaptive fading-memory Kalman filter is studied. How adaptive fading-memory Kalman filters can be constructed to estimate rigid body motion from radar measurements is described. A review of fading-memory Kalman filters is contained, with emphasis on their interpretation in the frequency domain. The stability analysis of an adaptive fading-memory Kalman filter is performed. Sample behavior of the error state vector is also examined. The application of the adaptive fading-memory Kalman filters to rigid-body motion estimation is briefly described
Keywords
Kalman filters; filtering and prediction theory; radar theory; signal processing; stability; Kalman filters; adaptive fading memory; frequency domain; noisy radar measurements; rigid-body motion estimation; signal processing; stability analysis; Adaptive filters; Circuits and systems; Equations; Fading; Frequency domain analysis; Gravity; Maximum likelihood estimation; Motion estimation; Radar measurements; Stability analysis;
fLanguage
English
Journal_Title
Circuits and Systems, IEEE Transactions on
Publisher
ieee
ISSN
0098-4094
Type
jour
DOI
10.1109/31.1769
Filename
1769
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