Thesis Details

Akustická detekce dronů pomocí mikrofonního pole

Bachelor's Thesis Student: Múčka Milan Academic Year: 2016/2017 Supervisor: Szőke Igor, Ing., Ph.D.
English title
Acoustic Drone Detection Using Microphone Array
Language
Czech
Abstract

This work deals with methods of acoustic localization for electrical multicopters using a microphone field composed of several microphones at a certain distance. The main methods of localization and detection using sound waves are explained in the paper. Next, the algorithms that implement these methods are designed. The results summarize the results of these algorithms together with experiments to verify their functionality.

Keywords

Acoustic localization, drons, multicopters, quadcopter, audio, correlation, GCC, acoustic intensity

Department
Degree Programme
Information Technology
Files
Status
defended, grade D
Date
16 June 2017
Reviewer
Committee
Smrž Pavel, doc. RNDr., Ph.D. (DCGM FIT BUT), předseda
Bidlo Michal, doc. Ing., Ph.D. (DCSY FIT BUT), člen
Hliněná Dana, doc. RNDr., Ph.D. (DMAT FEEC BUT), člen
Rozman Jaroslav, Ing., Ph.D. (DITS FIT BUT), člen
Ryšavý Ondřej, doc. Ing., Ph.D. (DIFS FIT BUT), člen
Citation
MÚČKA, Milan. Akustická detekce dronů pomocí mikrofonního pole. Brno, 2017. Bachelor's Thesis. Brno University of Technology, Faculty of Information Technology. 2017-06-16. Supervised by Szőke Igor. Available from: https://www.fit.vut.cz/study/thesis/19222/
BibTeX
@bachelorsthesis{FITBT19222,
    author = "Milan M\'{u}\v{c}ka",
    type = "Bachelor's thesis",
    title = "Akustick\'{a} detekce dron\r{u} pomoc\'{i} mikrofonn\'{i}ho pole",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2017,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/19222/"
}
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