A batch filter based on the Unscented Transformation and its applications to spacecraft attitude determination

Kyoung Min Roh, Sang Young Park, Eun Seo Park, Kyu Hong Choi

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

12 Citations (Scopus)

Abstract

This paper proposes a new batch processor based on the Unscented Transformation and demonstrates its application to the attitude determination of spacecraft. The goal of this study is to establish a batch processor without any linearization approximation. The modified Rodrigues parameters are used for attitude representation to maximize the advantages of the Unscented Transformation. The newly developed algorithm can be used to estimate the state of a system simultaneously processing all measurements collected for a fixed time span. Simulation tests are conducted to view the performance of this new approach with a gyro and vector sensors assumed as measurements. The results are compared with those from the Bayesian batch filter as well as those of the unscented and extended Kalman filter. The new batch filter shows a comparable performance to that of the Bayesian batch filter.

Original languageEnglish
Title of host publicationAmerican Astronautical Society - Space Flight Mechanics 2007 - Advances in the Astronautical Sciences, Proceedings of the AAS/AIAA Space Flight Mechanics Meeting
Pages19-40
Number of pages22
Publication statusPublished - 2007
Event17th Annual Space Flight Mechanics Meeting - Sedona, AZ, United States
Duration: 2007 Jan 282007 Feb 1

Publication series

NameAdvances in the Astronautical Sciences
Volume127 PART 1
ISSN (Print)0065-3438

Other

Other17th Annual Space Flight Mechanics Meeting
CountryUnited States
CitySedona, AZ
Period07/1/2807/2/1

All Science Journal Classification (ASJC) codes

  • Aerospace Engineering
  • Space and Planetary Science

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