Pridruživanje radarskih podataka manevrirajućem cilju uz smetnje uzrokovane odjekom od mora

Vondra, Bojan

prikaz prve stranice dokumenta Pridruživanje radarskih podataka manevrirajućem cilju uz smetnje uzrokovane odjekom od mora

Download
PDF 32.17 MB

doctoral thesis

Pridruživanje radarskih podataka manevrirajućem cilju uz smetnje uzrokovane odjekom od mora

Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. urn:nbn:hr:168:822654

Vondra, Bojan

University of Zagreb
Faculty of Electrical Engineering and Computing
Department of Communication and Space Technologies

Cite this document

APA 6th Edition

Vondra, B. (2021). Pridruživanje radarskih podataka manevrirajućem cilju uz smetnje uzrokovane odjekom od mora (Doctoral thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:822654

MLA 8th Edition

Vondra, Bojan. "Pridruživanje radarskih podataka manevrirajućem cilju uz smetnje uzrokovane odjekom od mora." Doctoral thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. https://urn.nsk.hr/urn:nbn:hr:168:822654

Chicago 17th Edition

Harvard

Vondra, B. (2021). 'Pridruživanje radarskih podataka manevrirajućem cilju uz smetnje uzrokovane odjekom od mora', Doctoral thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 28 March 2025, https://urn.nsk.hr/urn:nbn:hr:168:822654

Vancouver

Vondra B. Pridruživanje radarskih podataka manevrirajućem cilju uz smetnje uzrokovane odjekom od mora [Doctoral thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2021 [cited 2025 March 28] Available at: https://urn.nsk.hr/urn:nbn:hr:168:822654

IEEE

B. Vondra, "Pridruživanje radarskih podataka manevrirajućem cilju uz smetnje uzrokovane odjekom od mora", Doctoral thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2021. Available at: https://urn.nsk.hr/urn:nbn:hr:168:822654

Cite this item: https://urn.nsk.hr/urn:nbn:hr:168:822654

Please login to the repository to save this object to your list.

Metadata

Title	Pridruživanje radarskih podataka manevrirajućem cilju uz smetnje uzrokovane odjekom od mora
Title (english)	Manoeuvring target radar data association in presence of sea clutter
Author	Bojan Vondra MBZ: -331061
Mentor	Davor Bonefačić (mentor)
Committee member	Davor Bonefačić (član povjerenstva)
Granter	University of Zagreb Faculty of Electrical Engineering and Computing (Department of Communication and Space Technologies) Zagreb
Defense date and country	2021, Croatia
Scientific / art field, discipline and subdiscipline	TECHNICAL SCIENCES Computing
Universal decimal classification (UDC)	004 - Computer science and technology. Computing. Data processing
Abstract	Različitost Jadranskog mora u odnosu na otvoreno more, ocean, najviše se reflektira u specifi-čnoj gustoći valne energije, specifičnom odnosu brzine vjetra prema efektivnoj visini valova, malom privjetrištu, velikom broju otoka. U dostupnoj literaturi ne postoje zapisi o elektromag-netskom raspršenju od morske površine za specifične uvjete Jadrana, pa nije poznata razina točnosti klasičnih parametarskih modela, razvijenih na temelju mjerenja na otvorenom moru, oceanu. Alternativno se statistika odjeka smetnje (i cilja) može ekstrahirati iz estimirane razdi-obe, isključivo na temelju uzoraka (otisaka) u okolici praćenog cilja. Tretiranje mjerenja otisaka kao bešumnih, otvara prostor estimaciji razdiobe primjenom neuronskih mreža, pri čemu se iskorištava svojstvo njihove univerzalne aproksimativnosti. U estimaciji amplitudne razdiobe, radijalne mreže pokazuju najpovoljniji omjer točnosti i računalnog opterećenja, važnog za stvarnovremensku aplikaciju. U scenariju praćenja male gumene brodice maskirane valovima, tradicionalni parametarski Swerlingov model ne opisuje dovoljno točno odjek cilja kontamini-ran odjecima valova. Djelovanje neuronske mreže kao estimatora razdiobe u scenariju smetnje izrazito teškog repa, rezultira vjerojatnošću zadržavanja staze od 0,3, u odnosu na vjerojatnost 0,02 ostvarene primjenom parametarskog Swerlingovog modela. Minimalno 64 kvantizacijskih razina potrebno je za prijenos amplitudne informacije iz udaljenog radarskog senzora bez zna-čajnih gubitaka.
Abstract (english)	In comparison with open seas, properties of Adriatic Sea are distinct wave spectrum, specific ratio of wind velocity to effective wave height, limited fetch, large number of islands. Data of electromagnetic scattering from sea surface in Adriatic basin does not exist in open literature, so accuracy of employing traditional parametric models developed on the basis of measure-ments under condition of open and fully developed seas, is not known. Alternatively, statis-tics of clutter (and target) returns can be extracted from estimated probability density, exclu-sively on the basis of radar return samples (signatures), taken in the vicinity of tracked target. Treating measurements as noiseless opens up possibility of their probability density estimation by means of a neural network, employing property of universal approximation. Radial basis function network exhibits favorable ratio of estimation accuracy to computing time which is important for real-time application. In scenario of tracking a small rubber boat masked with waves, traditional Swerling model does not describe target echo, contaminated with echoes from waves, well. Neural network as density estimator employed in scenario of heavy-tailed clutter results in probability of tracking true target of 0.3, in comparison with 0.01 which re-sults from employment of parametric Swerling model. Minimum of 64 quantization levels are needed for amplitude information transfer from remote radar sensor without significant losses.
Keywords
Keywords (english)
Language	croatian
URN:NBN	urn:nbn:hr:168:822654
Study programme	Title: Computer Science Study programme type: university Study level: postgraduate Academic / professional title: Doktor znanosti (Doktor znanosti)
Catalog URL	http://lib.fer.hr/cgi-bin/koha/opac-detail.pl?biblionumber=52326
Type of resource	Text
Extent	iii, 455 str.
File origin	Born digital
Access conditions	Open access
Terms of use
Repository	FER Repository
Created on	2022-03-09 14:08:05