Optimal quadrature-based filtering in regularized coordinates for orbit determination

David Ciliberto, Puneet Singla, Joe Raquepas, Manoranjan Majji

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish (US)
Title of host publicationAAS/AIAA Astrodynamics Specialist Conference, 2019
EditorsKenneth R. Horneman, Christopher Scott, Brian W. Hansen, Islam I. Hussein
PublisherUnivelt Inc.
Pages2707-2719
Number of pages13
ISBN (Print)9780877036654
StatePublished - 2020
EventAAS/AIAA Astrodynamics Specialist Conference, 2019 - Portland, United States
Duration: Aug 11 2019Aug 15 2019

Publication series

NameAdvances in the Astronautical Sciences
Volume171
ISSN (Print)0065-3438

Conference

ConferenceAAS/AIAA Astrodynamics Specialist Conference, 2019
CountryUnited States
CityPortland
Period8/11/198/15/19

All Science Journal Classification (ASJC) codes

  • Aerospace Engineering
  • Space and Planetary Science

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