Robustifying the Kalman filter
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Author
Contributions
- Jacobs, Patricia A. - Contributor
- Naval Postgraduate School (U.S.). Dept. of Operations Research - Contributor
Publication
1987 - Naval Postgraduate School, Monterey, Calif, California
Language
English
Word Count
0 words, Guess
Page Count
0 pages
Identifiers
- Internet Archiverobustifyingkalm00gave
- Open LibraryOL25476491M
Alternate Titles
- NPS-55-87-014.
Description
Kalman filters are tracking and prediction algorithms based on Gaussian measurement errors and structural models. The Kalman filter performance may degrade if the measurement errors come from a thicker-tailed-than Gaussian distribution. In this report non-linear procedures are described which are based on Kalman-type models, but work with student-t measurement errors. Keywords: Kalman filter; Student-t measurement errors; Iterative reweighting procedure; Nonlinear filter; Biweight; Robust estimation
Subjects
Topics
KALMAN FILTERING
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