The Application of Performance Metrics to Staring radar for Drone Surveillance

被引：6

作者：

Jahangir, Mohammad ^{[1
]}

Ahmad, Bashar, I ^{[2
]}

Baker, Chris J. ^{[1
]}

机构：

[1] Univ Birmingham, Sch Elect Elect & Syst Engn, Birmingham, W Midlands, England

[2] Aveillant Ltd, Cambridge, England

来源：

EURAD 2020 THE 17TH EUROPEAN RADAR CONFERENCE | 2021年

关键词：

staring radar; drones; classification; performance metrics;

D O I：

10.1109/EuRAD48048.2021.00104

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

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.

引用

页码：382 / 385

页数：4

共 8 条

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