Abstract
The amount of space debris orbiting around the Earth has seen a dramatic growth through the recent years. This growth is fed by an avalanche multiplication process. In fact, according to the 'Kessler syndrome', any collision generates more debris that then collide with other objects and produce further debris. This growth represents a serious hazard for operational spacecraft, human activities in space and even the Earth environment since their re-enter is uncontrolled. Thus, it is important to continuously monitor and characterize them. Instrumental features for their characterization are surely represented by their size and spin rate. The Inverse Radon transform (IRT) tool has been proved to be a valid solution for this task. In this paper, we propose a comparison study between different approaches based on IRT for the estimation of the object's rotation period.
Original language | English |
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Title of host publication | 2020 21st International Radar Symposium, IRS 2020 |
Publisher | IEEE Computer Society Press |
Pages | 318-322 |
Number of pages | 5 |
ISBN (Electronic) | 9788394942151 |
DOIs | |
Publication status | Published - 5 Oct 2020 |
Event | 21st International Radar Symposium, IRS 2020 - Warsaw, Poland Duration: 5 Oct 2020 → 7 Oct 2020 |
Publication series
Name | Proceedings International Radar Symposium |
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Volume | 2020-October |
ISSN (Print) | 2155-5753 |
Conference
Conference | 21st International Radar Symposium, IRS 2020 |
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Country/Territory | Poland |
City | Warsaw |
Period | 5/10/20 → 7/10/20 |
Bibliographical note
Publisher Copyright:© 2020 Warsaw University of Technology.
Keywords
- Autocorrelation
- Comparison
- Period
- Radar
- Radon
- Rotating targets
- RSO
- SIRTA
- Space debris
- SSA
- Timefrequency
ASJC Scopus subject areas
- Computer Networks and Communications
- Computer Science Applications
- Signal Processing
- Electrical and Electronic Engineering
- Astronomy and Astrophysics
- Instrumentation