@inproceedings{85563dbb93e44c8896b5460075624466,
title = "Vector observations-based gyroless spacecraft attitude/angular rate estimation using particle filtering",
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 Kalman filter. The comparison demonstrates the viability and robustness of the new filter and its fast convergence rate.",
author = "Avishy Carmi and Yaakov Oshman",
year = "2006",
month = jan,
day = "1",
doi = "10.2514/6.2006-6597",
language = "English",
isbn = "1563478196",
series = "Collection of Technical Papers - AIAA Guidance, Navigation, and Control Conference 2006",
publisher = "American Institute of Aeronautics and Astronautics Inc.",
pages = "4252--4266",
booktitle = "Collection of Technical Papers - AIAA Guidance, Navigation, and Control Conference 2006",
note = "AIAA Guidance, Navigation, and Control Conference 2006 ; Conference date: 21-08-2006 Through 24-08-2006",
}