@inproceedings{f7f50170494c4c53b39a978e3b7296d4,
title = "A high order filter for estimation of nonlinear dynamic systems",
abstract = "In this paper, a high order filter is presented for estimation of nonlinear dynamic systems. The proposed filter computes higher order moment update equations in a Jacobian free manner and a computationally attractive manner. Compared to the conventional filters such as the Extended Kalman Filter (EKF) and Unscented Kalman Filter (UKF), the proposed filter captures desired order of statistical moments by making use of the higher order state transition matrices developed in our previous works, providing more accurate estimates through sparse measurements. The connection between the conventional high order method, the higher order state transition matrices and the proposed filter is discussed. Orbit estimation problem is considered to demonstrate the numerical efficiency and accuracy of the proposed filter.",
author = "Taewook Lee and Puneet Singla and Manoranjan Majji",
note = "Funding Information: This material is based upon the work jointly supported by the National Science Foundation under Award No. CMMI-1054759 and AFOSR grant FA9550-15-1-0313. Publisher Copyright: {\textcopyright} 2018 Univelt Inc. All rights reserved. Copyright: Copyright 2019 Elsevier B.V., All rights reserved.; AAS/AIAA Astrodynamics Specialist Conference, 2018 ; Conference date: 19-08-2018 Through 23-08-2018",
year = "2018",
language = "English (US)",
isbn = "9780877036579",
series = "Advances in the Astronautical Sciences",
publisher = "Univelt Inc.",
pages = "543--563",
editor = "Puneet Singla and Weisman, {Ryan M.} and Marchand, {Belinda G.} and Jones, {Brandon A.}",
booktitle = "AAS/AIAA Astrodynamics Specialist Conference, 2018",
address = "United States",
}