Examination of drone micro-Doppler and JEM/HERM signatures

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dc.contributor.authorMarkow, John
dc.contributor.authorBalleri, Alessio
dc.date.accessioned2021-04-20T10:46:45Z
dc.date.available2021-04-20T10:46:45Z
dc.date.issued2020-12-04
dc.description.abstractRadars monitoring small targets often must increase their integration times to achieve sufficient signal-to-noise ratio (SNR) for maintaining a viable track. These longer integation times can prevent micro-Doppler signature extraction and instead result in Doppler signatures consisting of spectral lines to the radar's higher-level processing. Whether the radar operates in the micro-Doppler or spectral line regime depends on both radar parameters (e.g. waveforms, wavelengths and integration times) as well as target parameters (e.g. rotor length, rotational frequency, target reflectivity and geometry). Additionally, understanding the transition region between these regimes can further aid target recognition algorithms. This paper uses modelling, simulations and experimental data to refine the understanding of how a particular radar will observe a target Doppler signature in either of these regimes, highlighting the transition region between the two.en_UK
dc.identifier.citationMarkow J, Balleri A. (2020) Examination of drone micro-Doppler and JEM/HERM signatures. In: 2020 IEEE Radar Conference, 21-25 September 2020, Florence, Italyen_UK
dc.identifier.isbn978-1-7281-8943-7
dc.identifier.issn2375-5318
dc.identifier.urihttps://doi.org/10.1109/RadarConf2043947.2020.9266342
dc.identifier.urihttp://dspace.lib.cranfield.ac.uk/handle/1826/16596
dc.language.isoenen_UK
dc.publisherIEEEen_UK
dc.rightsAttribution-NonCommercial 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/*
dc.subjectmicro-Doppleren_UK
dc.subjecttarget signatureen_UK
dc.subjectjet engine modulation (JEM)en_UK
dc.subjecthelicopter rotational motion (HERM)en_UK
dc.subjectspectrogramen_UK
dc.subjectdroneen_UK
dc.titleExamination of drone micro-Doppler and JEM/HERM signaturesen_UK
dc.typeConference paperen_UK

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