In this book, the extended Kalman filter (EKF) has been used as the standard technique for performing recursive nonlinear estimation. The EKF algorithm, however, provides only an approximation to optimal nonlinear estimation. In this chapter, we point out the underlying assumptions and flaws in the EKF, and present an alternative filter with performance superior to that of the EKF. This algorithm, referred to as the unscented Kalman filter (UKF), was first proposed by Julier et al 24, 22, 23, ...
%0 Book Section
%1 citeulike:1528383
%A Wan, E.
%A van der Merwe, R.
%D 2001
%E Haykin, S.
%I Wiley Publishing
%K kalman-filter statistics time-series
%T The Unscented Kalman Filter
%U http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.2.6187
%X In this book, the extended Kalman filter (EKF) has been used as the standard technique for performing recursive nonlinear estimation. The EKF algorithm, however, provides only an approximation to optimal nonlinear estimation. In this chapter, we point out the underlying assumptions and flaws in the EKF, and present an alternative filter with performance superior to that of the EKF. This algorithm, referred to as the unscented Kalman filter (UKF), was first proposed by Julier et al 24, 22, 23, ...
@incollection{citeulike:1528383,
abstract = {{In this book, the extended Kalman filter (EKF) has been used as the standard technique for performing recursive nonlinear estimation. The EKF algorithm, however, provides only an approximation to optimal nonlinear estimation. In this chapter, we point out the underlying assumptions and flaws in the EKF, and present an alternative filter with performance superior to that of the EKF. This algorithm, referred to as the unscented Kalman filter (UKF), was first proposed by Julier et al [24, 22, 23], ...}},
added-at = {2019-06-18T20:47:03.000+0200},
author = {Wan, E. and van der Merwe, R.},
biburl = {https://www.bibsonomy.org/bibtex/2429ebf6c3d6b0f2a3ea2ff84a3b735ba/alexv},
citeulike-article-id = {1528383},
citeulike-linkout-0 = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.2.6187},
comment = {Chapter 7 from the book},
editor = {Haykin, S.},
interhash = {27b811616e80ccbb189f64e7247af218},
intrahash = {429ebf6c3d6b0f2a3ea2ff84a3b735ba},
keywords = {kalman-filter statistics time-series},
posted-at = {2007-08-01 17:47:55},
priority = {0},
publisher = {Wiley Publishing},
timestamp = {2019-08-24T00:20:03.000+0200},
title = {{The Unscented Kalman Filter}},
url = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.2.6187},
year = 2001
}