Prediction of Satellite EDR Taxonomy from TLE Data and Simplified Atmospheric De
The satellite energy dissipation rate (EDR) taxonomy can provide more accurate observation requirement assignment, which can improving the utilization of available resources (radar and optical sensor) of space surveillance network (SSN) in an economical way. To improve the performance of the TLE-based (two-line element) EDR taxonomy, a simplified atmospheric density model is utilized to adjust the satellite EDR that obtained from the TLE-based EDR calculation approach. To verify the validity of
