Abstract
The amount of space debris orbiting the Earth has seen a dramatic grow through the recent years. Its rising population increases the potential danger to space missions. At present time, it is urgent to gain as much information as possible in order to characterize this environment. The classification in term of size and angular speed plays an important role in the process of assessing space debris threat and improving the overall knowledge of the objects that occupy the space around the Earth. This paper proposes an innovative technique for Resident Space Objects (RSOs) feature estimation by using multi-bistatic radar.
| Original language | English |
|---|---|
| Title of host publication | 2018 19th International Radar Symposium, IRS 2018 |
| Editors | Hermann Rohling |
| Publisher | IEEE Computer Society Press |
| ISBN (Print) | 9783736995451 |
| DOIs | |
| Publication status | Published - 27 Aug 2018 |
| Event | 19th International Radar Symposium, IRS 2018 - Bonn, Germany Duration: 20 Jun 2018 → 22 Jun 2018 |
Publication series
| Name | Proceedings International Radar Symposium |
|---|---|
| Volume | 2018-June |
| ISSN (Print) | 2155-5753 |
Conference
| Conference | 19th International Radar Symposium, IRS 2018 |
|---|---|
| Country/Territory | Germany |
| City | Bonn |
| Period | 20/06/18 → 22/06/18 |
Bibliographical note
Publisher Copyright:© 2018 German Institute of Navigation - DGON.
ASJC Scopus subject areas
- Computer Networks and Communications
- Computer Science Applications
- Signal Processing
- Electrical and Electronic Engineering
- Astronomy and Astrophysics
- Instrumentation