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Square-Root Quadrature Kalman Filtering
Journal article

Square-Root Quadrature Kalman Filtering

Abstract

The quadrature Kalman filter (QKF) is a recursive, nonlinear filtering algorithm developed in the Kalman filtering framework. It computes the mean and covariance of all conditional densities using the Gauss–Hermite quadrature rule. In this correspondence, we develop a square-root extension of the quadrature Kalman filter using matrix triangularizations. The square-root quadrature Kalman filter (SQKF) propagates the mean and the square root of …

Authors

Arasaratnam I; Haykin S

Journal

IEEE Transactions on Signal Processing, Vol. 56, No. 6, pp. 2589–2593

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Publication Date

June 1, 2008

DOI

10.1109/tsp.2007.914964

ISSN

1053-587X

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