Spacecraft attitude and angular rate estimation from vector observations using real-time particle filtering

Avishy Carmi, Yaakov Oshman

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

A novel algorithm is presented for the estimation of spacecraft attitude and angular rate from vector observations. Belonging to the class of Monte Carlo sequential methods, the new estimator is a particle filter that uses approximate numerical representation techniques for performing the otherwise exact time propagation and measurement update of potentially non-Gaussian probability density functions in inherently nonlinear systems. The paper develops the filter and its implementation in the case of a low Earth orbit (LEO) spacecraft, acquiring noisy Geomagnetic field measurements via a three-axis magnetometer (TAM). The new estimator copes with the curse of dimensionality related to the particle filtering technique, by introducing innovative procedures that permit a significant reduction in the number of particles. This renders the new estimator highly efficient and enables its implementation with a remarkably small number of particles. The results of a simulation study are presented, in which the new filter is compared to a recently presented unscented Kaiman filter. The comparison demonstrates the viability and robustness of the new filter and its fast convergence rate.

Original languageEnglish
Title of host publicationTechnion Israel Institute of Technology - 46th Israel Annual Conference on Aerospace Sciences 2006
Pages558-579
Number of pages22
StatePublished - 1 Dec 2006
Externally publishedYes
Event46th Israel Annual Conference on Aerospace Sciences 2006 - Tel-Aviv, Haifa, Israel
Duration: 1 Mar 20062 Mar 2006

Publication series

NameTechnion Israel Institute of Technology - 46th Israel Annual Conference on Aerospace Sciences 2006
Volume2

Conference

Conference46th Israel Annual Conference on Aerospace Sciences 2006
Country/TerritoryIsrael
CityTel-Aviv, Haifa
Period1/03/062/03/06

ASJC Scopus subject areas

  • Computer Science (all)
  • Space and Planetary Science
  • Energy Engineering and Power Technology
  • Aerospace Engineering
  • Physics and Astronomy (all)

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