A Genetic Algorithm to associate optical measurements and estimate orbits of geocentric objects


Autoria(s): Zittersteijn, Michiel; Vananti, Alessandro; Schildknecht, Thomas; Dolado-Perez, J.C.; Martinot, V.
Data(s)

2015

Resumo

Cataloging geocentric objects can be put in the framework of Multiple Target Tracking (MTT). Current work tends to focus on the S = 2 MTT problem because of its favorable computational complexity of O(n²). The MTT problem becomes NP-hard for a dimension of S˃3. The challenge is to find an approximation to the solution within a reasonable computation time. To effciently approximate this solution a Genetic Algorithm is used. The algorithm is applied to a simulated test case. These results represent the first steps towards a method that can treat the S˃3 problem effciently and with minimal manual intervention.

Formato

application/pdf

Identificador

http://boris.unibe.ch/73951/1/MZ_EUCASS2015.pdf

Zittersteijn, Michiel; Vananti, Alessandro; Schildknecht, Thomas; Dolado-Perez, J.C.; Martinot, V. (2015). A Genetic Algorithm to associate optical measurements and estimate orbits of geocentric objects (In Press). In: Proceedings of 6th European Conference for Aeronautics and Space Sciences. Krakow, Poland.

doi:10.7892/boris.73951

Idioma(s)

eng

Relação

http://boris.unibe.ch/73951/

Direitos

info:eu-repo/semantics/restrictedAccess

Fonte

Zittersteijn, Michiel; Vananti, Alessandro; Schildknecht, Thomas; Dolado-Perez, J.C.; Martinot, V. (2015). A Genetic Algorithm to associate optical measurements and estimate orbits of geocentric objects (In Press). In: Proceedings of 6th European Conference for Aeronautics and Space Sciences. Krakow, Poland.

Palavras-Chave #520 Astronomy
Tipo

info:eu-repo/semantics/conferenceObject

info:eu-repo/semantics/acceptedVersion

NonPeerReviewed