20.500.12556/RUL-92958 Sistem akustične detekcije brezpilotnih letalnikov Drone detection using Audio Analysis Uporaba brezpilotnih letalnikov v zle namene stalno narašča. Razvili smo metodo, ki s pomočjo akustične analize signalov prepozna brezpilotni letalnik. Zasnovali smo merilno progo, ki je sposobna določiti elevacijo vira hrupa na osnovi uporabe mikrofonske antene, ter tudi obdelave psihoakustičnih značilk zvoka. Končna rešitev lokalizira in klasificira trenutno dominanten vir hrupa v okolici na podlagi primerjave vektorjev značilk v bazi znanih virov hrupa. Med izvajanjem eksperimenta smo preverjali na kakšni razdalji smo sposobni zaznati brezpilotnik, s kolikšno natančnostjo prepoznamo smer vira hrupa, ter kako uspešni smo pri sami prepoznavi vira hrupa. Vse meritve smo izvajali tako v gluhi komori, kot v realnem okolju. Ugotovili smo, da je detekcija brezpilotnika s prvim prototipnim sistemom lahko uspešna, vse pa je odvisno od količine hrupa okolice. Drones used for illegal purposes is a growing problem. The goal of the thesis is to create a drone detector, which can detect drones using audio analysis. We have designed a measuring line that is capable of determining the elevation of the source of noise based on the use of a microphone antenna, as well as the treatment of psychoacoustic sound characteristic. The final solution localizes and classifies the currently dominant source of noise in the surroundings based on a comparison of character vectors in the base of known noise sources. During the experiment, we checked on the distance from which we were able to detect a drone, how precisely we can recognize the direction of the source of noise, and how successful we are in identifying the source of a noise. All measurements were performed both in the deaf chamber and in the real environment. We found that the detection of a drone with the first prototype system can be successful, and everything depends on the amount of ambient noise. brezpilotni letalnik psihoakustične cenilke lokalizacija vira hrupa klasifikacija hrupa uspešnost prepoznave meritve drones psychoacoustic elevation of the source of noise sound classification sound recognition performance measurement true false false Slovenski jezik Angleški jezik Magistrsko delo/naloga 2017-07-11 09:23:13 2017-07-11 09:23:15 2023-11-20 11:58:01 0000-00-00 00:00:00 2017 0 0 0000-00-00 NiDoloceno NiDoloceno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 1970-01-01 189600 456.pdf 456.pdf 1 CA3DFF32F311E2BFDCC513AA726C8EA4 6423c6b812c40711c6baf608792566b1af329138723e1f40de96e4f24e735bb6 77b5de85-a1b3-11eb-a523-00155dcfd717 20.500.12556/rul/31c5ded6-026c-40d5-9d89-2a22776c96b8 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=101125 457.pdf 457.pdf 1 26C3F7C660FBFBF612EB05DB2FBC0E59 7721403a4b7b608ceba53cdd2e5b065715de493cfba61760a199f22509ebfe81 77c8e10b-a1b3-11eb-a523-00155dcfd717 20.500.12556/rul/a171a709-b620-46b1-93cb-a3077c5f0c27 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=101126 Fakulteta za strojništvo 0 0 0