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Kalman filter
Known as:
Kalman-Bucy filter
, The Kalman Smoother
, Stratonovich-Kalman-Bucy
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Kalman filtering, also known as linear quadratic estimation (LQE), is an algorithm that uses a series of measurements observed over time, containing…
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Related topics
Related topics
50 relations
3D modeling
Adaptive filter
Alpha beta filter
Analogue filter
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Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2011
Highly Cited
2011
Advanced Kalman Filtering, Least-Squares and Modeling: A Practical Handbook
B. Gibbs
2011
Corpus ID: 60364235
This book is intended primarily as a handbook for engineers who must design practical systems. Its primary goal is to discuss…
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Highly Cited
2010
Highly Cited
2010
Robust Kalman Filter Based on a Generalized Maximum-Likelihood-Type Estimator
Mital A. Gandhi
,
L. Mili
IEEE Transactions on Signal Processing
2010
Corpus ID: 8832635
A new robust Kalman filter is proposed that detects and bounds the influence of outliers in a discrete linear system, including…
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Highly Cited
2010
Highly Cited
2010
Kalman filter-based identification for systems with randomly missing measurements in a network environment
Yang Shi
,
H. Fang
International Journal of Control
2010
Corpus ID: 31731298
We consider the problem of parameter estimation and output estimation for systems in a transmission control protocol (TCP) based…
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Highly Cited
2006
Highly Cited
2006
Fractional Kalman filter algorithm for the states, parameters and order of fractional system estimation
D. Sierociuk
,
A. Dzieliński
2006
Corpus ID: 17153354
This paper presents a generalization of the Kalman filter for linear and nonlinear fractional order discrete state-space systems…
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Highly Cited
2002
Highly Cited
2002
The Unscented Kalman Filter
E. Wan
,
Rudolph van der Merwe
2002
Corpus ID: 123641533
Highly Cited
2001
Highly Cited
2001
Comparison of two measurement fusion methods for Kalman-filter-based multisensor data fusion
Q. Gan
,
C. Harris
2001
Corpus ID: 53059500
Currently there exist two commonly used measurement fusion methods for Kalman-filter-based multisensor data fusion. The first…
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Highly Cited
1991
Highly Cited
1991
Identification of observer/Kalman filter Markov parameters: Theory and experiments
J. Juang
,
M. Phan
,
L. Horta
,
R. Longman
1991
Corpus ID: 1828849
This paper discusses an algorithm to compute the Markov parameters of an observer or Kalman filter from experimental input and…
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Highly Cited
1991
Highly Cited
1991
Fuzzy Modeling Using Generalized Neural Networks and Kalman Filter Algorithm
J. Jang
AAAI Conference on Artificial Intelligence
1991
Corpus ID: 40363876
We propose a new approach to build a, fuzzy inference system of which the parameters can be updated to achieve a desired input…
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Review
1990
Review
1990
The Kalman Filter: An Introduction to Concepts
P. Maybeck
Autonomous Robot Vehicles
1990
Corpus ID: 60686790
Before we delve into the details of the text, it would be useful to see where we are going on a conceptual basis. Therefore, the…
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Review
1975
Review
1975
A Comparison of Complementary and Kalman Filtering
W. Higgins
IEEE Transactions on Aerospace and Electronic…
1975
Corpus ID: 13231391
A technique used in the flight control industry for estimation when combining measurements is the complementary filter. This…
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