Extended Kalman filter

Known as: EKF 
In estimation theory, the extended Kalman filter (EKF) is the nonlinear version of the Kalman filter which linearizes about an estimate of the… (More)
Wikipedia

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2007
Highly Cited
2007
This paper investigates the convergence properties and consistency of extended Kalman filter (EKF) based simultaneous… (More)
  • figure 1
  • figure 2
  • figure 3
  • figure 4
Is this relevant?
Highly Cited
2004
Highly Cited
2004
Battery management systems in hybrid-electric-vehicle battery packs must estimate values descriptive of the pack’s present… (More)
  • table 2
  • figure 1
  • figure 2
  • figure 3
  • figure 4
Is this relevant?
Highly Cited
2002
Highly Cited
2002
A combined phase-locked loop/delay-locked loop has been developed for tracking weak GPS C/A signals. This work enables the use of… (More)
  • figure 1
  • figure 2
  • figure 3
  • figure 4
  • figure 5
Is this relevant?
Highly Cited
2002
Highly Cited
2002
The generation of membership functions for fuzzy systems is a challenging problem. We show that for Mamdani-type fuzzy systems… (More)
  • figure 1
  • figure 2
  • figure 3
  • figure 4
  • figure 5
Is this relevant?
Highly Cited
2001
Highly Cited
2001
The Extended Kalman Filter (EKF) provides an efficient method for generating approximate maximum-likelihood estimates of the… (More)
  • figure 5.1
  • figure 5.2
  • figure 5.3
  • table 5.4
  • figure 5.4
Is this relevant?
Highly Cited
2000
Highly Cited
2000
The Extended Kalman Filter (EKF) has become a standard technique used in a number of nonlinear estimation and machine learning… (More)
  • figure 1
  • figure 2
  • figure 3
  • figure 4
Is this relevant?
Highly Cited
1999
Highly Cited
1999
Linearization errors inherent in the specification of an extended Kalman filter (EKF) can severely degrade its performance. This… (More)
  • figure 1
  • figure 2
Is this relevant?
Highly Cited
1999
Highly Cited
1999
In this paper, the authors analyze the error behavior for the discrete-time extended Kalman filter for general nonlinear systems… (More)
  • figure 1
  • figure 1
  • figure 2
  • figure 3
  • figure 3
Is this relevant?
Highly Cited
1997
Highly Cited
1997
The Kalman filter(KF) is one of the most widely used methods for tracking and estimation due to its simplicity, optimality… (More)
  • figure 1
  • figure 2
  • figure 3
  • figure 4
  • figure 5
Is this relevant?
Highly Cited
1993
Highly Cited
1993
This paper formulates a nonlinear model predictive control algorithm based on successive linearization. The extended Kalman… (More)
  • figure 3
  • figure 1
Is this relevant?