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Ways for copter drone acustic detection

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dc.title Ways for copter drone acustic detection en
dc.contributor.author Vilímek, Jakub
dc.contributor.author Buřita, Ladislav
dc.relation.ispartof ICMT 2017 - 6th International Conference on Military Technologies
dc.identifier.isbn 978-1-5386-1988-9
dc.date.issued 2017
dc.citation.spage 349
dc.citation.epage 353
dc.event.title 6th International Conference on Military Technologies, ICMT 2017
dc.event.sdate 2017-05-31
dc.event.edate 2017-06-02
dc.type conferenceObject
dc.language.iso en
dc.publisher Institute of Electrical and Electronics Engineers Inc.
dc.identifier.doi 10.1109/MILTECHS.2017.7988783
dc.relation.uri http://ieeexplore.ieee.org/abstract/document/7988783/
dc.subject audio signal analysis en
dc.subject drone en
dc.subject MATLAB en
dc.subject UAS en
dc.description.abstract The article describes the options of passive detection of Unmanned Aerial Systems (UAS), which are not a subject of the X supplement published by Civil Aviation Authority of the Czech Republic. The beginning of the article contains analysis of basic UAS characteristics in acoustic area. In this part some systems for UAS detection using acoustic methods are mentioned. The following part of the article is dedicated to measuring of acoustic indications of the UAS flight and their evaluation. The main part is focused on design of algorithm for UAS detection and its real-time adaptability. The final part of the article evaluates the parameters of previously mentioned algorithm and opportunities for improvement. The paper contains graphical outputs and results of signal processing in MATLAB environment. © 2017 IEEE. en
utb.faculty Faculty of Management and Economics
dc.identifier.uri http://hdl.handle.net/10563/1007522
utb.identifier.obdid 43877458
utb.identifier.scopus 2-s2.0-85029350036
utb.source d-scopus
dc.date.accessioned 2017-10-16T14:43:42Z
dc.date.available 2017-10-16T14:43:42Z
utb.contributor.internalauthor Buřita, Ladislav
utb.fulltext.affiliation Jakub Vilímek *, Ladislav Buřita † * System Engineer of URC Systems, Pražákova 49, 619 00 Brno, CR, e-mail: jakub.vilimek@urc-systems.cz * PhD student of University of Defence, Kounicova 65, 662 10 Brno, Czech Republic † University lecturer-professor at the University of Defence, Kounicova 65, 662 10 Brno, CR and † Tomas Bata University in Zlín, Mostní 5139, 760 01 Zlín, Czech Republic, e-mail: ladislav.burita@unob.cz
utb.fulltext.dates -
utb.fulltext.references [1] “Orelia, Drone Detector,”[online], http://www.drone-detector.com/en/drone-detector-main-features, accessed December 4, 2016. [2] “Dedrone, DroneTracker Multi Sensor,”[online], http://www.dedrone.com/en/dronetracker/drone-detection-hardware#multi-sensor, accessed December 4, 2016. [3] “Droneshield, Omnidirectional Sensor,”[online], https://www.droneshield.com/omnidirectional-sensor, accessed December 4, 2016. [4] R. Lawrence and J. Biing-Hwang, “Fundamentals of speech recognition,” PTR Prentice Hall Englewood Cliffs, 1993. [5] P. E. Papamichalis, “Practical approaches to speech coding,” Prentice-Hall, [6] H. Černocký, “Speech Signal Processing – Study text”, “Zpracování řečových signálů – studijní opora,” Vysoké učení technické v Brně, 2006.
utb.fulltext.sponsorship -
utb.scopus.affiliation URC Systems, Pražákova 49, Brno, Czech Republic; University of Defence, Kounicova 65, Brno, Czech Republic; Tomas Bata University in Zlín, Mostní 5139, Zlín, Czech Republic
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