Loading...
Please wait, while we are loading the content...
Similar Documents
Total probability of collision as a metric for finite conjunction assessment and collision risk management
| Content Provider | NASA Technical Reports Server (NTRS) |
|---|---|
| Author | Hejduk, Matthew D. Johnson, Lauren C. Plakalovic, Dragan Frigm, Ryan C. |
| Copyright Year | 2015 |
| Description | On-orbit collision risk is becoming an increasing mission risk to all operational satellites in Earth orbit. Managing this risk can be disruptive to mission and operations, present challenges for decision-makers, and is time-consuming for all parties involved. With the planned capability improvements to detecting and tracking smaller orbital debris and capacity improvements to routinely predict on-orbit conjunctions, this mission risk will continue to grow in terms of likelihood and effort. It is very real possibility that the future space environment will not allow collision risk management and mission operations to be conducted in the same manner as it is today. This paper presents the concept of a finite conjunction assessment-one where each discrete conjunction is not treated separately but, rather, as a continuous event that must be managed concurrently. The paper also introduces the Total Probability of Collision as an analogous metric for finite conjunction assessment operations and provides several options for its usage in a Concept of Operations. |
| File Size | 529551 |
| Page Count | 12 |
| File Format | |
| Alternate Webpage(s) | http://archive.org/details/NASA_NTRS_Archive_20150018410 |
| Archival Resource Key | ark:/13960/t6rz48j4v |
| Language | English |
| Publisher Date | 2015-09-15 |
| Access Restriction | Open |
| Subject Keyword | Conjunction Assessment Space Debris Aerospace Environments Probability Theory Collisions Risk Management Detection Collision Avoidance Earth Orbits Ntrs Nasa Technical Reports Server (ntrs) Nasa Technical Reports Server Aerodynamics Aircraft Aerospace Engineering Aerospace Aeronautic Space Science |
| Content Type | Text |
| Resource Type | Article |
