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- W2000281237 abstract "Extending and consolidating the recently introduced quaternion particle filter for a spacecraft’s attitude estimation and its companion, the angular-rate particlefilter, this paper presents a novel algorithm for the estimation of both a spacecraft’s 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 thefilter and its implementation in the case of a low-Earth-orbit spacecraft, acquiring noisy Geomagnetic field measurements via a three-axis magnetometer. The new estimator copeswith 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 computationally efficient and enables its implementationwith a remarkably small number of particles (relative to the dimension of the state). The results of a simulation study demonstrate the viability and robustness of the new filter and its fast convergence rate." @default.
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- W2000281237 date "2009-01-01" @default.
- W2000281237 modified "2023-09-27" @default.
- W2000281237 title "Fast Particle Filtering for Attitude and Angular-Rate Estimation from Vector Observations" @default.
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- W2000281237 doi "https://doi.org/10.2514/1.36979" @default.
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