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Radar UAV and Bird Signature comparisons with Micro-Doppler

Ritchie, M; Peters, N; Horne, C; (2021) Radar UAV and Bird Signature comparisons with Micro-Doppler. In: Clemente, C and Fioranelli, F and Colone, F and Li, G, (eds.) Radar Countermeasures for Unmanned Aerial Vehicles. (pp. 279-314). SciTech/IET: London, UK. Green open access

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Abstract

This chapter reviews the similarities and differences between micro Unmanned Aerial Vehicles (UAVs), also referred to as drones, and bird targets from the signals they present to radar sensors. With the increasing usage of UAV platforms in both military and civilian applications, the demand for the ability to sense drone locations and discriminate them from background clutter and non-drone targets is becoming a vital requirement. A comparable target in size, speed and Radar Cross Section (RCS) is a bird. These are present almost everywhere that radar systems have to operate and have been detected by radar since the early origin of radar engineering. Due to the similarity in radar signature birds can cause common misclassification between them and the priority drone targets which has been identified as a current key challenge in radar sensing. In this chapter radar bird and drone signature research is initially summarised, then a fundamental model that represents the key contributions from drone rotor blades is introduced and compared to real measurements. Laboratory measurements of quadcopter rotor blade signatures with across 4 linear polarisations are then investigated in order to evaluate the trend of Signal-to-Noise-Ratio (SNR) vs. aspect angle. Next bird signatures from two separate radar systems are shown and compared to drone targets also present in the captures which are of comparable size and RCS. The outputs of all research presented are then summarised in the concluding remarks.

Type: Book chapter
Title: Radar UAV and Bird Signature comparisons with Micro-Doppler
ISBN-13: 978-1-83953-190-3
Open access status: An open access version is available from UCL Discovery
DOI: 10.1049/sbra543e_ch9
Publisher version: http://dx.doi.org/10.1049/sbra543e_ch9
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng
URI: https://discovery.ucl.ac.uk/id/eprint/10139175
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