David Richmond (Lockheed Martin)
Keywords: SSA, SSA Architecture
Abstract:
Space Situational Awareness (SSA) is the foundation for space superiority and has become a national priority. Providing full SSA requires knowledge of space and ground assets along with communication links between these assets. It also requires an understanding of potential events and threats that may affect these assets. This paper summarizes the findings resulting from a research environment established to explore SSA issues. Non-traditional data sources available on the internet are identified along with methods to mine relevant data. Algorithms to augment this data with value added processing were evaluated and key features are presented. These include all-on-all conjunction analysis utilizing analytical distributed processing approaches and maneuver detection utilizing an approach described in the AMOS 2007 paper “Satellite Maneuver Detection Using Two-line Elements”. Data fusion techniques are presented which were utilized to evaluate space launches, enhance maneuver detection capabilities, characterize events and determine possible intent. Several visualization approaches were explored and the key features/limitations are discussed to include performance consideration, event models between visualization components, and data needs at the tactical, operational, and strategic levels. Data dissemination approaches utilizing a Service Oriented Architecture (SOA) are highlighted along with challenges such as Multiple Levels of Security associated with the data. Dependencies between visualization and dissemination that impact the system’s performance are discussed. Alternatives to balance system performance and application of a User Defined Operational Picture (UDOP) are explored.
Date of Conference: September 16-19, 2008
Track: SSA & SSA Architecture