Analysis of Space Debris Orbit Prediction Using Angle and Laser Ranging Data from Two Tracking Sites under Limited Observation Environment

The global electro-optical (EO) and laser tracking sensor network was considered to investigate improvements to orbit prediction (OP) accuracy of space debris by combining angle and laser ranging data. However, it is worth noting that weather, schedule and visibility constraints can frequently limit the operations of such sensors, which may not result in sufficient tracking data for accurate OP. In this study, several 1-day OP results for low Earth orbit (LEO) space debris targets were demonstrated under a limited observation environment to verify the OP accuracy through the combination of angle and laser ranging data from two sites. For orbit determination (OD) processes, it was considered to analyze the OP accuracy by one site providing both 2–day arc angle data and 1-day arc laser ranging data, while the other was limited to 1-day arc angle data. In addition, the initial ballistic coefficient (BC) application method was proposed and implemented for the improvement of OD/OP accuracy, which introduces the modified correction factor depending on the drag coefficient. In the cases of combining the angle and laser ranging data, the OP results show the 3D position difference values are below 100 m root mean square (RMS) with small position uncertainty. This value satisfies the target OP accuracy for conjunction assessments and blind laser ranging (about 50–100 m at 1000 km altitude). The initial BC application method also shows better OP accuracy than the method without the correction factor.

[1]  Carmen Pardini,et al.  Ranking upper stages in low Earth orbit for active removal , 2016 .

[2]  Craig Smith,et al.  Performance Assessment of the EOS Space Debris Tracking System , 2012 .

[3]  Hyung-Chul Lim,et al.  Orbit Determination of Korean GEO Satellite Using Single SLR Sensor , 2018, Sensors.

[4]  Jung Hyun Jo,et al.  Analysis of the angle-only orbit determination for optical tracking strategy of Korea GEO satellite, COMS , 2015 .

[5]  Jizhang Sang,et al.  A Novel Method for Precise Onboard Real-Time Orbit Determination with a Standalone GPS Receiver , 2015, Sensors.

[6]  G. Kirchner,et al.  Laser measurements to space debris from Graz SLR station , 2013 .

[7]  Brian R. Greene,et al.  The EOS Space Debris Tracking System , 2006 .

[8]  B. Argrow,et al.  Semi-Empirical Satellite Accommodation Model for Spherical and Randomly Tumbling Objects , 2013 .

[9]  J. Bennett,et al.  Estimation of ballistic coefficients of low altitude debris objects from historical two line elements , 2013 .

[10]  Kefei Zhang,et al.  Accurate orbit predictions for debris orbit manoeuvre using ground-based lasers , 2013 .

[11]  Zhibo Wu,et al.  The use of laser ranging to measure space debris , 2012 .

[12]  Jang-Hyun Park,et al.  Optical Tracking Data Validation and Orbit Estimation for Sparse Observations of Satellites by the OWL-Net , 2018, Sensors.

[13]  James Bennett,et al.  Experimental results of debris orbit predictions using sparse tracking data from Mt. Stromlo , 2014 .

[14]  Bin Li,et al.  A Real-Time Orbit Determination Method for Smooth Transition from Optical Tracking to Laser Ranging of Debris , 2016, Sensors.

[15]  T. Schildknecht,et al.  Fusion of Laser Ranges and Angular Measurements Data for LEO and GEO Space Debris Orbit Determination , 2017 .

[16]  Kefei Zhang,et al.  An analysis of very short-arc orbit determination for low-Earth objects using sparse optical and laser tracking data , 2015 .

[17]  David Cssi Vallado Orbit Determination Using ODTK Version 6 , 2010 .

[18]  Peng Zhang,et al.  Comparison of Ultra-Rapid Orbit Prediction Strategies for GPS, GLONASS, Galileo and BeiDou , 2018, Sensors.