{[ promptMessage ]}

Bookmark it

{[ promptMessage ]}

IEKF - ± Iterate as many times as needed to reduce error...

Info iconThis preview shows page 1. Sign up to view the full content.

View Full Document Right Arrow Icon
Other DKF Variants: Iterated EKF Other DKF Variants: Iterated EKF Iterated linearization: Iterated Kalman gain: Iterated state estimate: Iterated EKF Iterated EKF Iterated covariance update:
Background image of page 1
This is the end of the preview. Sign up to access the rest of the document.

Unformatted text preview: ± Iterate as many times as needed to reduce error covariance. ± Terminate when no appreciable change in state estimate is realized. ± Iterations increase computational complexity....
View Full Document

  • Fall '11
  • GraceGraham
  • Computational complexity theory, Estimation theory, Iterated function, Kalman, Iterated covariance update, Iterated Kalman gain

{[ snackBarMessage ]}