Probabilistic Initial Orbit Determination Using Gaussian Mixture Models-Reference-Cited by-同舟云学术

Probabilistic Initial Orbit Determination Using Gaussian Mixture Models

Published:2013-09 Issue:5 Volume:36 Page:1324-1335
ISSN:0731-5090
Container-title:Journal of Guidance, Control, and Dynamics
language:en
Short-container-title:Journal of Guidance, Control, and Dynamics

Author:

DeMars Kyle J.¹,Jah Moriba K.²

Affiliation:

1. Department of Mechanical and Aerospace Engineering, Missouri University of Science and Technology, Rolla, Missouri 65409

2. Space Vehicles Directorate, U.S. Air Force Research Laboratory, Kirtland Air Force Base, New Mexico 87117

Publisher

American Institute of Aeronautics and Astronautics (AIAA)

Subject

Applied Mathematics,Electrical and Electronic Engineering,Space and Planetary Science,Aerospace Engineering,Control and Systems Engineering

Link

http://arc.aiaa.org/doi/pdf/10.2514/1.59844

Reference17 articles.

1. TapleyB. D.SchutzB. E.BornG. H., Statistical Orbit Determination, Elsevier, New York, 2004, pp. 194–199.

2. Unscented Filtering and Nonlinear Estimation

3. van der MerweR. “Sigma-Point Kalman Filters for Probabilistic Inference in Dynamic State-Space Models,” Ph.D. Dissertation, Oregon Health and Science Univ., Portland, Oregon, 2004.

4. EscobalP. R., Methods of Orbit Determination, Krieger, Malabar, FL, 1965, pp. 239–292.

5. GoodingR. H. “A New Procedure for Orbit Determination Based on Three Lines of Sight (Angles Only),” Defense Research Agency TR-93004, Farnborough, Hampshire, England, 1993.

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