Good practices and approaches for counter UAV system developments – an industrial perspective

Mohammed Jahangir; Daniel White

doi:10.1049/SBRA543E_ch12

Good practices and approaches for counter UAV system developments – an industrial perspective

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Abstract

In this chapter, we briefly describe the staring radar concept and show how itcan be used to detect and discriminate drones against a severe background of other targets such as birds and ground clutter. The methods developed for collecting ground-truth data from both control and opportune targets are described.Throughout, examples from real-world measurements will be used to illustrate how to generate labelled training data as well as demonstrating the target recognition performance with a supervised learning-based approach.

Original language	English
Title of host publication	Radar Countermeasures for Unmanned Aerial Vehicles
Editors	Carmine Clemente, Francesco Fioranelli, Fabiola Colone, Gang Li
Publisher	Institution of Engineering and Technology (IET)
Chapter	12
Pages	363-384
Number of pages	22
ISBN (Electronic)	9781839531910
ISBN (Print)	9781839531903
DOIs	https://doi.org/10.1049/SBRA543E_ch12
Publication status	Published - 2021

Keywords

autonomous aerial vehicles
position control
supervised learning-based approach
staring radar concept
industrial perspective
UAV system development
ground-truth data collection

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10.1049/SBRA543E_ch12

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abstract = "In this chapter, we briefly describe the staring radar concept and show how itcan be used to detect and discriminate drones against a severe background of other targets such as birds and ground clutter. The methods developed for collecting ground-truth data from both control and opportune targets are described.Throughout, examples from real-world measurements will be used to illustrate how to generate labelled training data as well as demonstrating the target recognition performance with a supervised learning-based approach.",

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Good practices and approaches for counter UAV system developments – an industrial perspective. / Jahangir, Mohammed ; White, Daniel.
Radar Countermeasures for Unmanned Aerial Vehicles. ed. / Carmine Clemente; Francesco Fioranelli; Fabiola Colone; Gang Li . Institution of Engineering and Technology (IET), 2021. p. 363-384.

Research output: Chapter in Book/Report/Conference proceeding › Chapter

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KW - position control

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PB - Institution of Engineering and Technology (IET)

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Good practices and approaches for counter UAV system developments – an industrial perspective

Abstract

Keywords

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