Abstract
In this paper, several performance metrics are proposed for staring radar to provide figures of merit that effectively capture the overall capability of a non-cooperative drone surveillance system. Such figures of merit can offer more meaningful system performance measures to the end user by combining aspects such as track quality combined with target classification. This is contrary to relying only on standard classifier performance metrics such as a confusion matrix. Example results are presented here using real radar data.
Original language | English |
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Title of host publication | 2020 17th European Radar Conference (EuRAD) |
Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
Number of pages | 4 |
ISBN (Electronic) | 9782874870613 |
ISBN (Print) | 9781728170602 (PoD) |
DOIs | |
Publication status | Published - 3 Feb 2021 |
Event | 17th European Radar Conference, EuRAD 2020 - Utrecht, Netherlands Duration: 13 Jan 2021 → 15 Jan 2021 |
Publication series
Name | European Radar Conference (EuRAD) |
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Conference
Conference | 17th European Radar Conference, EuRAD 2020 |
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Country/Territory | Netherlands |
City | Utrecht |
Period | 13/01/21 → 15/01/21 |
Bibliographical note
Acknowledgment:The work is part funded by the SESAR Joint Undertaking under the European Union's Connection Europe Facility (CEF) programme under grant agreement SJU/LC/344-CTR.