Satellite Characterization Data Collection and Analysis

摘要

Techniques for improved characterization of satellites have been an area of research for several years. Our team evaluated Optical characterization techniques in 2015 and expanded to radar, signals and infra-red phenomenology in 2016. In this paper our efforts to collect optical, radar, and signal data for satellite characterization and Pattern of Life understanding will be covered. Algorithmic approaches to fuse data from multiple phenomenologies will be identified to include rapidly re-acquiring objects after a maneuver, estimation of available fuel, and power profile considerations. Tip and Cue points between collectors necessary to implement the multi-phenomenology data fusion algorithms will be identified. The benefits of such information will be discussed, to include re-acquiring objects after a maneuver.