A NEW SENSOR RESOURCE ALLOCATION ALGORITHM FOR THE SPACE SURVEILLANCE NETWORK IN SUPPORT OF THE SPECIAL PERTURBATIONS SATELLITE CATALOG

摘要

A new sensor resource allocation algorithm has been developed that optimally allocates tracks from the Space Surveillance Network (SSN) to maintain the special perturbations satellite catalog to meet the accuracy requirements in the U.S. Strategic Command Capstone Requirements Document (CRD) for Space Control. The required track density from the SSN to meet the accuracy requirements in the CRD increases with energy dissipation rate (EDR), which is a measure of the amount of atmospheric drag a satellite experiences. The sensor resource allocation algorithm is based on marginal utility analysis. Each satellite has a concave utility function, which has decreasing marginal utility as more tracks from the SSN are allocated until the expected value of the number of acquired tracks reaches the required track density based on EDR. The allocation algorithm maximizes the sum of all the satellite utility functions.