Association of optical tracklets from a geosynchronous belt survey via the direct Bayesian admissible region approach


Autoria(s): Fujimoto, K.; Scheeres, D.; Herzog, Johannes; Schildknecht, Thomas
Data(s)

15/01/2014

Resumo

The direct Bayesian admissible region approach is an a priori state free measurement association and initial orbit determination technique for optical tracks. In this paper, we test a hybrid approach that appends a least squares estimator to the direct Bayesian method on measurements taken at the Zimmerwald Observatory of the Astronomical Institute at the University of Bern. Over half of the association pairs agreed with conventional geometric track correlation and least squares techniques. The remaining pairs cast light on the fundamental limits of conducting tracklet association based solely on dynamical and geometrical information.

Formato

application/pdf

application/pdf

Identificador

http://boris.unibe.ch/62757/8/TS_ASR2014a.pdf

http://boris.unibe.ch/62757/15/1-s2.0-S0273117713007059-main.pdf

Fujimoto, K.; Scheeres, D.; Herzog, Johannes; Schildknecht, Thomas (2014). Association of optical tracklets from a geosynchronous belt survey via the direct Bayesian admissible region approach. Advances in space research, 53(2), pp. 295-308. Pergamon 10.1016/j.asr.2013.11.021 <http://dx.doi.org/10.1016/j.asr.2013.11.021>

doi:10.7892/boris.62757

info:doi:10.1016/j.asr.2013.11.021

urn:issn:0273-1177

Idioma(s)

eng

Publicador

Pergamon

Relação

http://boris.unibe.ch/62757/

Direitos

info:eu-repo/semantics/openAccess

info:eu-repo/semantics/restrictedAccess

Fonte

Fujimoto, K.; Scheeres, D.; Herzog, Johannes; Schildknecht, Thomas (2014). Association of optical tracklets from a geosynchronous belt survey via the direct Bayesian admissible region approach. Advances in space research, 53(2), pp. 295-308. Pergamon 10.1016/j.asr.2013.11.021 <http://dx.doi.org/10.1016/j.asr.2013.11.021>

Palavras-Chave #520 Astronomy
Tipo

info:eu-repo/semantics/article

info:eu-repo/semantics/publishedVersion

PeerReviewed