Title
Alternating Direction Implicit Method-Based Nonlinear Filtering For Relative Orbit Estimation
Keywords
Aerospace control; Alternative direction implicit method; Bayes estimation; Fokker-Planck equation; Nonlinear filtering
Abstract
Nonlinear filtering theory, based upon the Fokker-Planck equation and Bayes' rule, has been around since the 1970s. This method does not require linearized dynamics and/or measurement models, and also the assumption of the Gaussian process is not necessary. However, it is extremely difficult to obtain an analytical solution of the Fokker-Planck equation with only a few exceptions, and normally the solution is obtained through numerical approaches. In this paper, this type of nonlinear filtering method is reinvestigated and applied to a relative orbit estimation problem. The time evolution of the state conditional probability density function between measurements is obtained by solving the associated Fokker-Planck equation numerically using the numerical scheme called the alternating direction implicit method. To further mitigate the computational load, an enhanced moving domain technique is employed and the probability distribution function is partitioned. © 2010 ASCE.
Publication Date
7-1-2010
Publication Title
Journal of Aerospace Engineering
Volume
23
Issue
3
Number of Pages
186-196
Document Type
Article
Personal Identifier
scopus
DOI Link
https://doi.org/10.1061/(ASCE)AS.1943-5525.0000024
Copyright Status
Unknown
Socpus ID
77953592459 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/77953592459
STARS Citation
Yoon, J. and Xu, Y., "Alternating Direction Implicit Method-Based Nonlinear Filtering For Relative Orbit Estimation" (2010). Scopus Export 2010-2014. 681.
https://stars.library.ucf.edu/scopus2010/681