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==== Unmanned aerial vehicle detection ==== A notable example of utilizing Doppler information is in the detection and classification of small [[unmanned aerial vehicle]]s. Radar systems operating at [[extremely high frequency]] offer enhanced Doppler resolution for a given coherent processing interval.<ref>{{cite book |first1=S. |last1=Rahman |first2=D. A. |last2=Robertson |display-authors=etal |chapter=Chapter 3 Applications of Millimetre Wave Radar for UAV Detection and Classification |title=Radar Countermeasures for Unmanned Aerial Vehicles |editor-first=Carmine |editor-last=Clemente |publisher=The Institution of Engineering and Technology |location=London |year=2021 |isbn=9781839531910 |pages=63β106 }}</ref> This increased resolution allows access to micro-Doppler signatures (MDSs), where micro-Doppler refers to Doppler modulations caused by the oscillatory movement of a target's structural components, in contrast to bulk Doppler, which relates to the overall motion of the target.<ref>V. Chen, ''The Micro-Doppler Effect in Radar'', 2nd ed. (Norwood, MA: Artech, 2019).</ref> Typically, UAVs have rotating blades that generate distinctive MDSs, enabling effective target discrimination between UAVs and other airborne objects, such as birds.<ref>S. Rahman and D. A. Robertson, "Radar micro-Doppler signatures of drones and birds at K-band and W-band," ''Scientific Reports'', vol. 8, 17396 (2018). [https://doi.org/10.1038/s41598-018-35880-9 https://doi.org/10.1038/s41598-018-35880-9]</ref>
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