Earth Observing System Covariance Realism
| Autor: | Matthew D. Hejduk, Waqar H. Zaidi |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Physics
020301 aerospace & aeronautics Mahalanobis distance 02 engineering and technology Covariance Collision 01 natural sciences Empirical distribution function Classical mechanics 0203 mechanical engineering Probability theory 0103 physical sciences Outlier Orbit determination 010303 astronomy & astrophysics Algorithm Statistical hypothesis testing |
| Zdroj: | AIAA/AAS Astrodynamics Specialist Conference. |
| Popis: | The purpose of covariance realism is to properly size a primary object's covariance in order to add validity to the calculation of the probability of collision. The covariance realism technique in this paper consists of three parts: collection/calculation of definitive state estimates through orbit determination, calculation of covariance realism test statistics at each covariance propagation point, and proper assessment of those test statistics. An empirical cumulative distribution function (ECDF) Goodness-of-Fit (GOF) method is employed to determine if a covariance is properly sized by comparing the empirical distribution of Mahalanobis distance calculations to the hypothesized parent 3-DoF chi-squared distribution. To realistically size a covariance for collision probability calculations, this study uses a state noise compensation algorithm that adds process noise to the definitive epoch covariance to account for uncertainty in the force model. Process noise is added until the GOF tests pass a group significance level threshold. The results of this study indicate that when outliers attributed to persistently high or extreme levels of solar activity are removed, the aforementioned covariance realism compensation method produces a tuned covariance with up to 80 to 90% of the covariance propagation timespan passing (against a 60% minimum passing threshold) the GOF tests-a quite satisfactory and useful result. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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