Stochastic star identification
- Resource Type
- Authors
- Suraphol Udomkesmalee; Aurelio F. Tolivar; James W. Alexander
- Source
- Journal of Guidance, Control, and Dynamics. 17:1283-1286
- Subject
- Discrete mathematics
Artificial neural network
Applied Mathematics
Monte Carlo method
Aerospace Engineering
Astrophysics::Cosmology and Extragalactic Astrophysics
Star (graph theory)
Identification (information)
Deep space exploration
Space and Planetary Science
Control and Systems Engineering
Astrophysics::Solar and Stellar Astrophysics
A priori and a posteriori
Astrophysics::Earth and Planetary Astrophysics
Electrical and Electronic Engineering
Right ascension
Algorithm
Astrophysics::Galaxy Astrophysics
Mathematics
Constellation
- Language
- ISSN
- 1533-3884
0731-5090
An approach to star identification based on comparing observed pattern statistics with the precomputed star cataloged statistics is suggested. The identification criterion is based on evaluating a posteriori probabilities of designated star sequences obtained from observing different star fields. Numerical results based on a specific algorithm are presented. A number of references for other approaches are cited.