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Cubature Kalman Filter

  • Kumar Pakki Bharani Chandra
  • Da-Wei GuEmail author
Chapter

Abstract

The cubature Kalman filter (CKF) is the closest approximation known so far to the Bayesian filter that could be designed in a nonlinear setting under the Gaussian assumption. Unlike the extended Kalman filter (EKF), CKF does not require evaluation of Jacobians during the estimation process, while in EKF the nonlinear functions are approximated by their Jacobians, the first-order Taylor’s series approximation.

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.GMR Institute of TechnologyRajamIndia
  2. 2.Department of EngineeringUniversity of LeicesterLeicesterUK

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