Title
Nonlinear measurement update for estimation of angular systems based on circular distributions
Abstract
In this paper, we propose a novel progressive nonlinear measurement update for circular states. This generalizes our previously published circular filter that so far was limited to identity measurement equations. The new update method is based on circular distributions in order to capture the periodic properties of a circular system better than conventional approaches that rely on standard Gaussian distributions. Besides the progressive measurement update, we propose two additional measurement updates that are obtained by adapting traditional filters to the circular case. Simulations show the superiority of the proposed progressive approach.
Year
DOI
Venue
2014
10.1109/ACC.2014.6858982
American Control Conference
Keywords
DocType
ISSN
Gaussian distribution,nonlinear filters,normal distribution,Gaussian distributions,angular systems estimation,circular distributions,circular filter,circular system,measurement equations,progressive nonlinear measurement update,Estimation,Filtering,Nonlinear systems
Conference
0743-1619
Citations 
PageRank 
References 
8
0.63
6
Authors
3
Name
Order
Citations
PageRank
Gerhard Kurz17813.41
Igor Gilitschenski27813.89
Uwe D. Hanebeck359971.02