Spacecraft attitude estimation using adaptive gaussian sum filter

Jemin George, Gabriel Terejanu, Puneet Singla

Research output: Contribution to journalArticlepeer-review

6 Scopus citations

Abstract

This paper is concerned with improving the attitude estimation accuracy by implementing an adaptive Gaussian sum filter where the a posteriori density function is approximated by a sum of Gaussian density functions. Compared to the traditional Gaussian sum filter, this adaptive approach utilizes the Fokker-Planck-Kolmogorov residual minimization to update the weights associated with different components of the Gaussian mixture model. Updating the weights provides an accurate approximation of the a posteriori density function and thus superior estimates. Simulation results show that updating the weights during the propagation stage not only provides better estimates between the observations but also provides superior estimator performance where the measurements are ambiguous.

Original languageEnglish (US)
Pages (from-to)31-45
Number of pages15
JournalJournal of the Astronautical Sciences
Volume57
Issue number1-2
DOIs
StatePublished - 2009

All Science Journal Classification (ASJC) codes

  • Aerospace Engineering
  • Space and Planetary Science

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