prikaz prve stranice dokumenta Detection of low-metallic content landmines based on electromegnetic induction model.
No public access
doctoral thesis
Detection of low-metallic content landmines based on electromegnetic induction model.
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. urn:nbn:hr:168:453778
Ambruš, Davorin
University of Zagreb
Faculty of Electrical Engineering and Computing
Department of Electronic Systems and Information Processing

Cite this document

Ambruš, D. (2019). Detection of low-metallic content landmines based on electromegnetic induction model. (Doctoral thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:453778

Ambruš, Davorin. "Detection of low-metallic content landmines based on electromegnetic induction model.." Doctoral thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. https://urn.nsk.hr/urn:nbn:hr:168:453778

Ambruš, Davorin. "Detection of low-metallic content landmines based on electromegnetic induction model.." Doctoral thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. https://urn.nsk.hr/urn:nbn:hr:168:453778

Ambruš, D. (2019). 'Detection of low-metallic content landmines based on electromegnetic induction model.', Doctoral thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 16 April 2024, https://urn.nsk.hr/urn:nbn:hr:168:453778

Ambruš D. Detection of low-metallic content landmines based on electromegnetic induction model. [Doctoral thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2019 [cited 2024 April 16] Available at: https://urn.nsk.hr/urn:nbn:hr:168:453778

D. Ambruš, "Detection of low-metallic content landmines based on electromegnetic induction model.", Doctoral thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2019. Available at: https://urn.nsk.hr/urn:nbn:hr:168:453778

Please login to the repository to save this object to your list.
Metadata
TitleDetection of low-metallic content landmines based on electromegnetic induction model.
Title (croatian)Otkrivanje mina s malom količinom metala zasnovano na elektromagnetskom induktivnom modelu.
AuthorDavorin Ambruš
MentorVedran Bilas (mentor)
Committee memberVedran Bilas (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
(Department of Electronic Systems and Information Processing)
Zagreb
Defense date and country2019, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Electrical Engineering
Electronics
Universal decimal classification
(UDC)		621.3 - Electrical engineering
Abstract
This thesis presents an attempt to improve the existing methods of close-in detection of landmines using electromagnetic induction (EMI) sensing. In the introductory part, an analytical forward model of a scanning EMI sensor for metallic target characterization based on the induced magnetic dipole model is derived from the governing EMI equations. Three different static inversion methods for the estimation of induced dipole model parameters from EMI and sensor positional data are analyzed; the method based on nonlinear least squares (NLS) approach, the quasi-numerical HAP method featuring the modified NSMS model, and the metaheuristic method. Inversion performance of each method is evaluated on a synthetic data set, for selected metallic targets and representative search head geometries. A novel approach to search head's pose tracking based on the measurement of its own primary magnetic field and the application of the extended Kalman filter is presented. Following a similar methodology, a new concept of dynamic dipole inversion that avoids the need for sensor positional data is proposed. The effects of background interferences on a response of an EMI sensor and the methods for their compensation are also analyzed. A novel concept for robust estimation of target's shape, based on temporal information stored in the eigenvalues of the estimated magnetic polarizability tensor, is introduced. Finally, all of the analyzed modeling, inversion, tracking and compensation approaches are experimentally validated on several sensing platforms in a laboratory and field environment.
Abstract (croatian)
Ovaj doktorski rad rezultat je istraživanja kojima je cilj unaprjeđenje postojećih metoda za blisko otkrivanje mina uporabom elektromagnetskih induktivnih (EMI) senzora. U uvodnom dijelu rada prezentiran je analitički model skenirajućeg EMI senzora, izveden iz klasičnih jednadžbi elektromagnetskih potencijala u njihovom magnetskom kvazistatičkom obliku primjenom dipolne aproksimacije. Analizirane su tri različite statičke inverzne metode za estimaciju parametara dipolnog modela; nelinearna metoda najmanjih kvadrata, kvazinumerička HAP metoda s modificiranim plošnim magnetskim izvorima, te metaheuristička metoda. Provjera i usporedba performansi navedenih inverznih metoda provedena je na sintetičkom uzorku podataka za odabrane metalne mete i reprezentativne geometrije senzorskih glava. Razvijena je nova metoda praćenja položaja i orijentacije senzorske glave zasnovana na mjerenju primarnog magnetskog polja samog detektora i primjeni proširenog Kalmanovog filtra (EKF). Slijedeći sličnu EKF metodologiju, predložen je novi koncept dinamičke dipolne inverzije kojom se izbjegava potreba za sustavom praćenja senzorske glave. U radu su također analizirani i učinci pozadinskih smetnji na odziv EMI senzora, te metode njihove kompenzacije. Obrađen je i novi koncept robusne estimacije oblika metalnog predmeta zasnovan na informacijama sadržanima u svojstvenim vrijednostima estimiranog tenzora magnetske polarizabilnosti u vremenskoj domeni. Sve navedene metode i pristupi modeliranju senzora, dipolnoj inverziji, praćenju položaja senzorske glave, te kompenzaciji pozadinskih smetnji eksperimentalno su provjereni na nekoliko različitih senzorskih platformi u laboratorijskim i terenskim uvjetima.
Keywords
Keywords (croatian)
Languageenglish
URN:NBNurn:nbn:hr:168:453778
Study programmeTitle: Electrical Engineering and Computing
Study programme type: university
Study level: postgraduate
Academic / professional title: Doktor znanosti elektrotehnike i računarstva (Doktor znanosti elektrotehnike i računarstva)
Type of resourceText
Extent305 str. ; 30 cm
File originBorn digital
Access conditionsClosed access
Terms of useLicence In copyright icon
RepositoryFER Repository
Created on2019-06-03 09:15:53

(©) Nacionalna i sveučilišna knjižnica u Zagrebu 2015. Sva prava pridržana. | Hrvatske bratske zajednice 4 p.p. 550, 10000 Zagreb, Hrvatska Tel. ++ 385 1 616-4040
OIB: 84838770814 | IBAN: HR66 2340 0091 1000 1008 1, Porezni broj (PDV identifikacijski broj) - VAT Number: HR84838770814
Prijava u repozitorij