@inproceedings{6766a113d1164ddba3decfc828030c9e,
title = "Optimal quadrature-based filtering in regularized coordinates for orbit determination",
abstract = "The development of quadrature-based filters for orbit determination and challenges associated with their implementations while using constrained regularized variables in astrodynamics are discussed. Since the regularization process introduces redundant coordinates, a quadrature based method to explicitly account for the state constraints is developed. In particular, a non-product quadrature method known as the Conjugate Unscented Transformation is used for filter development. Numerical experiments are conducted to validate the developed filter and results are compared with linear error theory based filter such as the constrained Kalman filter.",
author = "David Ciliberto and Puneet Singla and Joe Raquepas and Manoranjan Majji",
note = "Funding Information: This research effort is sponsored by the Air Force under MOU FA8750-15-3-6000. The U.S. Government is authorized to reproduce and distribute copies for Governmental purposes notwithstanding any copyright or other restrictive legends. The views and conclusions contained herein are those of the authors and should not be interpreted as necessarily representing the official policies or endorsements, either expressed or implied, of the Air Force or the U.S. Government. Publisher Copyright: {\textcopyright} 2020, Univelt Inc. All rights reserved.; AAS/AIAA Astrodynamics Specialist Conference, 2019 ; Conference date: 11-08-2019 Through 15-08-2019",
year = "2020",
language = "English (US)",
isbn = "9780877036654",
series = "Advances in the Astronautical Sciences",
publisher = "Univelt Inc.",
pages = "2707--2719",
editor = "Horneman, {Kenneth R.} and Christopher Scott and Hansen, {Brian W.} and Hussein, {Islam I.}",
booktitle = "AAS/AIAA Astrodynamics Specialist Conference, 2019",
address = "United States",
}