Title
Nadgledanje ciljeva iza linije horizonta integracijom podataka sa OTN radara i drugih mornaričkih senzora
Creator
Nikolić, Dejan
Copyright date
2020
Object Links
Select license
Autorstvo-Nekomercijalno-Deliti pod istim uslovima 3.0 Srbija (CC BY-NC-SA 3.0)
License description
Dozvoljavate umnožavanje, distribuciju i javno saopštavanje dela, i prerade, ako se navede ime autora na način odredjen od strane autora ili davaoca licence i ako se prerada distribuira pod istom ili sličnom licencom. Ova licenca ne dozvoljava komercijalnu upotrebu dela i prerada. Osnovni opis Licence: http://creativecommons.org/licenses/by-nc-sa/3.0/rs/deed.sr_LATN Sadržaj ugovora u celini: http://creativecommons.org/licenses/by-nc-sa/3.0/rs/legalcode.sr-Latn
Language
Serbian
Cobiss-ID
Theses Type
Doktorska disertacija
description
Datum odbrane: 25.12.2020.
Other responsibilities
mentor
Stanković, Zoran Ž. 1968-
član komisije
Marković, Vera
član komisije
Dončov, Nebojša
član komisije
Maleš-Ilić, Nataša
član komisije
Drajić, Dejan
Academic Expertise
Tehničko-tehnološke nauke
University
Univerzitet u Nišu
Faculty
Elektronski fakultet
Group
Katedra za telekomunikacije
Alternative title
Maritime beyond the horizon target tracking by integration of data received from OTH radars with other naval sensors
Publisher
[D. S. Nikolić]
Format
133 lista
description
Biografija autora: list 130,
Bibliografija: 120-125.
description
Radiolocation
Abstract (en)
The subject of this dissertation’s research is the integration of data
obtained from sensors that monitor the sea surface beyond the line of
horizon. The primary sensor network is composed of OTH (Over the
Horizon) radars, while the secondary data source is the AIS system
(Automated Information System), both satellite and terrestrial. With
the integration of all collected data, a unique operational picture is
formed in order to control maritime traffic on the high seas. The
emphasis is on the control of the Exclusive Economic Zone in order
to increase the safety of navigation, preserve natural resources and
prevent illegal activities. In order to solve the integration problem in
an efficient way, two new algorithms for data integration have been
proposed and implemented. The dissertation first presents an
algorithm for efficient data fusion within network consisting of 2 or
more OTH radars. Then, an algorithm for efficient integration of OTH
radar tracks and other naval sensors, primarily AIS systems, was
presented. For both algorithms, the results obtained through
exploitation in real working environment (the Gulf of Guinea) are
presented. At the end of this dissertation, the architecture of a hybrid
empirical-neural model is proposed to estimate the number of false
targets caused by the strong atmospheric disturbances, including even
meteo-tsunamis, and to reduce false alarms in the OTH sensor
network. The architecture of this model is based on the PNN
(Probabilistic Neural Network).
Authors Key words
Radar, Kratkotalasni radar, Zahorizontni radar, radarsko
praćenje, AIS, fuzija podataka, mornarički sistemi
Authors Key words
Radar; HFSW radar; OTH radar; radar tracking; data fusion; AIS;
marine systems
Classification
621.396.965.8:656.61.052.4/.053]:004.8.032.26(043.3)
Subject
T 181 Remote sensing
Type
Tekst
Abstract (en)
The subject of this dissertation’s research is the integration of data
obtained from sensors that monitor the sea surface beyond the line of
horizon. The primary sensor network is composed of OTH (Over the
Horizon) radars, while the secondary data source is the AIS system
(Automated Information System), both satellite and terrestrial. With
the integration of all collected data, a unique operational picture is
formed in order to control maritime traffic on the high seas. The
emphasis is on the control of the Exclusive Economic Zone in order
to increase the safety of navigation, preserve natural resources and
prevent illegal activities. In order to solve the integration problem in
an efficient way, two new algorithms for data integration have been
proposed and implemented. The dissertation first presents an
algorithm for efficient data fusion within network consisting of 2 or
more OTH radars. Then, an algorithm for efficient integration of OTH
radar tracks and other naval sensors, primarily AIS systems, was
presented. For both algorithms, the results obtained through
exploitation in real working environment (the Gulf of Guinea) are
presented. At the end of this dissertation, the architecture of a hybrid
empirical-neural model is proposed to estimate the number of false
targets caused by the strong atmospheric disturbances, including even
meteo-tsunamis, and to reduce false alarms in the OTH sensor
network. The architecture of this model is based on the PNN
(Probabilistic Neural Network).
“Data exchange” service offers individual users metadata transfer in several different formats. Citation formats are offered for transfers in texts as for the transfer into internet pages. Citation formats include permanent links that guarantee access to cited sources. For use are commonly structured metadata schemes : Dublin Core xml and ETUB-MS xml, local adaptation of international ETD-MS scheme intended for use in academic documents.