improved ssa through orbit determination of two-line element sets

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Improved SSA through Orbit Determination of Two-Line Element Sets David A. Vallado, Benjamin Bastida Virgili, and Tim Flohrer Paper 6ECSD 13-4a.0-7 presented at the 6 th European Conference on Space Debris in Darmstadt, Germany, 2013 April 22-25

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Improved SSA through Orbit Determination of Two-Line Element Sets. David A. Vallado, Benjamin Bastida Virgili , and Tim Flohrer. Paper 6ECSD 13-4a.0-7 presented at the 6 th European Conference on Space Debris in Darmstadt, Germany, 2013 April 22-25. Outline. Introduction - PowerPoint PPT Presentation

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Page 1: Improved  SSA  through Orbit Determination of Two-Line Element Sets

Improved SSA through Orbit Determination of Two-Line Element Sets

David A. Vallado, Benjamin Bastida Virgili, and Tim Flohrer

Paper 6ECSD 13-4a.0-7 presented at the 6th European Conference on Space Debris in Darmstadt, Germany, 2013 April 22-25

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Outline

• Introduction– Two-Line Element Sets (TLEs)

• Problem Definition– TLEs have no covariance– Operations increasingly require covariance

• Previous Studies• Process• Results• Conclusions

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Introduction

• Development– SGP

• Drag through mean motion rates– SGP4

• Drag through Bstar and analytical development• Developed in late 1960’s and early 1970’s

– Brouwer and Kozai theories (1959)• Documentation

– 1980 – Consolidated code– 2006 – update from various versions (code and description)– 2008 – initial effort to assemble an OD version

• Widespread Use– Large data bases exist for a majority of the space catalog

• www.Celestrak.com • www.space-track.org

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Introduction

• Force models– Simplified J2 - J5 zonals– Bstar for Atmospheric Drag– Simplified terms for 3rd body, SRP

• Much investigation– Hartman 2003, Boyce 2004, Muldoon et al. 2009,

Flohrer et al. 2008, 2009, etc.• Comparisons

– To Reference orbits (high quality)– To TLEs over time (lower quality)

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Whole Catalog processing

• Flohrer et al. 2008, 2009

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TLE Formation and Prediction

• Fit Spans– Uncertainty increases with prediction

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OD Processing and Prediction

• Comparison to future TLEs – KF processing, initial uncertainty 1 km

• Vallado and Cefola (2012)

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OD Processing and Prediction (II)

• Comparison to future TLEs– KF processing, initial uncertainty 5 km

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Process

• Develop Orbital Classes to study• Sub-categories

– Active (maneuvering)– Calibration– Debris – fragments, PL, RB, Mission Related Objects (MRO)

• Examine options– How to form the reference orbit

• Backwards, midpoint, etc– OD Force Models– OD Fit Span– Number of TLEs used– Object Size

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Orbital Categories

• Satellite Catalog Feb 2013– ~17000 objects– Satellites tested

• ~74%Category Name

Eccentiricity / Inclination

Mean Altitude km (perigee/apogee)

Number in Catalog

% of catalog

LEOLow Near Earth

Circular 0.00 < e < 0.05 0 < alt < 575 400 2.35

LEOMedium Near Earth

Circular 0.00 < e < 0.05 575 < alt < 1000 6564 38.61

LEOHigh Near Earth

Circulr 0.00 < e < 0.05 1000 < alt < 2500 2147 12.63

LEONear Earth Eccentric 0.05 < e < 1.00 0 < alt < 2500 623 3.66

NSONavigation Satellites 50 < i < 70 18100-24300 / 18100-24300 253 1.49

GTO GEO Transfer 0 < i < 55 100-2000 / 34786-36786 232 1.36MEO Mid Earth 0 < i < 180 2000-34786 / 2000-34786 200 1.18HEO Highly Elliptical 0 < i < 180 100-34586 / 38586-90000000 895 5.26GEO Geosynchronous 0 < i < 70 32986-38586 / 32986-38586 1176 6.92

HAOHigh Altitude Above GEO 0.0 < i < 180 38586-90000000 / 38586-90000000 54 0.32

Orbital Categories

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Force Models

• Gravity– JGM3 30 × 30– JGM3 8 × 8 GEO

• Atmosphere– NRLMSIS-00

• Third Body• Solar Radiation pressure

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Results – UVW components

• Eccentricity vs Inclination– Uncertainty during OD of TLE ephemeris– LEO, MEO, HEO, GEO

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Results – smaller uncertainty

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Results – smaller uncertainty

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Results – larger uncertainty

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Results – larger uncertainty

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Object Size Results

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Conclusions

• Confirmed earlier results:– Number of TLEs did not seem to matter– Force models added only a small effect

• New results:– Reference orbit formed backwards appears to perform better– Force models do not seem to make much difference

• Gravity and atmospheric in particular

– Object size• Unable to find correlation between category and size

– Object type seemed to be a factor in some cases…• Category, maneuverable, calibration, etc.

– Fit span• Observed larger uncertainty with longer fit spans

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Conclusions

• Largest uncertainty in almost all cases was in the along-track direction – GEO radial

• HEO and GTO orbits consistently experienced largest uncertainty– Then GEO and MEO– Then the NSO – Then all the LEO orbits

• TLE Epoch “uncertainty”– LEO ~ 0.5 km– NSO ~ 0.5 km – MEO ~ 1-2 km– GEO ~ 2-4 km– HEO and GTO ~ 6-8 km

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Questions?