The Application of Performance Metrics to Staring radar for Drone Surveillance

Mohammed Jahangir, Bashar I. Ahmad, Chris J. Baker

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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 languageEnglish
Title of host publication2020 17th European Radar Conference (EuRAD)
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Number of pages4
ISBN (Electronic)9782874870613
ISBN (Print)9781728170602 (PoD)
DOIs
Publication statusPublished - 3 Feb 2021
Event17th European Radar Conference, EuRAD 2020 - Utrecht, Netherlands
Duration: 13 Jan 202115 Jan 2021

Publication series

NameEuropean Radar Conference (EuRAD)

Conference

Conference17th European Radar Conference, EuRAD 2020
Country/TerritoryNetherlands
CityUtrecht
Period13/01/2115/01/21

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.

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