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Synthetic Data for Validation of Navigation Systems

Giribet, Juan Ignacio et al · Elsevier · 2007

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Pre-flight design assessment and validation of navigation systems require emulating data acquired by a range of different hypothetical configurations of onboard sensors with different quality standards and/or sampling time specifications. A proper validation procedure requires the emulated data to be available at arbitrarily specified sampling times and for different hypothetical test-trajectories. The problem thus formulated entails obtaining, for the different case studies, closed solutions of the nonlinear kinematics equations as explicit functions of time. The method proposed is based on constructing a subset of the solutions of the kinematics equations contained in a vector spline functional space whose order may be arbitrarily specified. Particular consideration is devoted to the solutions of the attitude quaternion. The method is illustrated with experimental data obtained during a sub-orbital flight of the VS30 vehicle of the Brazilian Space Agency. Fil: Giribet, Juan Ignacio. Universidad de Buenos Aires; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Saavedra 15. Instituto Argentino de Matemática Alberto Calderon; Argentina Fil: España, Martin Dario. Universidad de Buenos Aires; Argentina

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APA 7

Giribet, J. I. E. A. (2007). Synthetic Data for Validation of Navigation Systems. http://hdl.handle.net/11336/19468

MLA

Giribet, Juan Ignacio et al. "Synthetic Data for Validation of Navigation Systems." 2007. http://hdl.handle.net/11336/19468.

Chicago

Giribet, Juan Ignacio et al. 2007. "Synthetic Data for Validation of Navigation Systems.". http://hdl.handle.net/11336/19468.

Harvard

Giribet, J. I. E. A. 2007, Synthetic Data for Validation of Navigation Systems, Elsevier, available at: http://hdl.handle.net/11336/19468 [Accessed 5 Aug. 2026].

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Title
Synthetic Data for Validation of Navigation Systems
Author / contributors
Giribet, Juan Ignacio et al
Publisher
Elsevier
Publication year
2007
ISSN
0094-5765
ISSN
0094-5765
Language
English

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