Comparison of Phenomenology for Satellite Characterization
Abstract
Techniques for improved characterization of Satellites have been an area of research for several years. Many of these approaches show great promise and have been validated using models and simulations. In this paper, multiple phenomenologies that support satellite characterization will be discussed to include: optical, radar, signals, and Infra-Red. The paper will identify satellite characteristics that could be gleaned from the various data types. Algorithms that support extracting the information will be referenced. Unique collection conditions that enable a phenomenology to yield desired data will be discussed. This paper will discuss the impact of changes to satellite characterization data types over the life of an on-orbit asset. The benefits of such information will be discussed, to include re-acquiring objects after a maneuver.
- Publication:
-
Advanced Maui Optical and Space Surveillance Technologies Conference
- Pub Date:
- September 2016
- Bibcode:
- 2016amos.confE.108R