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    <ns1:identifier>o:22308</ns1:identifier>
    <ns1:title language="sr">Кохерентна директна локализација у дистрибуираним масивним вишеантенским системима</ns1:title>
    <ns2:subtitle language="sr">докторске дисертације</ns2:subtitle>
    <ns2:alt_title language="en">Coherent direct position estimation in distributed massive MIMO systems : doctoral dissertation</ns2:alt_title>
    <ns1:language>sr</ns1:language>
    <ns1:description language="sr">Disertacija se bavi problemom direktne koherentne lokalizacije izvora xirokopojasnih radio signala pomou masivnih vixeantenskih sistemima u prostorno koherentnom scenariju LOS (Line-OfSight) komponenti. Ovaj scenario je tipiqan za male elije u milimetarskom opsegu u petoj generaciji 5G elijskih sistema. Lokalizacija
se zasniva na obradi signala sa distribuiranih antenskih nizova koji
mogu imati podnizove sa faziranim antenskim rexetkama. Ideja ove
disertacije je da se infrastruktura buduih beiqnih sistema pete
generacije (5G) iskoristi, pored komunikacije, i za lokalizaciju koja
je predmet disertacije.
Ciǉ je da se ostvari prezicnost procene pozicije za 2 do 3 reda
veliqine boǉu od talasne duine nosioca, xto klasiqne metode za dvokoraqnu i jednokoraqnu (direktnu) lokalizaciju ne omoguavaju. Da
bi se to postiglo, koriste se koherentne metode { one koje pored pomaka anvelopa koriste i informacije sadrane u fazama nosioca LOS
komponenti. Da bi se to moglo iskoristiti, potrebno je da u eliji postoji prostorna koherencija LOS komponenti. Zbog toga se istraivaǌe
pre svega oslaǌa na male elije (sa LOS uslovima) i milimetarski
(mmWave) opseg (koji ima povoǉne uslove prostiraǌa), ali nije ograniqeno na ǌih dok god je prethodni uslov zadovoǉen.
Korixene su sledee metode istraivaǌa. Matematiqki je modelovan prostorno koherentni scenario i za ǌega su izvedene teorijske
granice preciznosti lokalizacije. Zatim su predloene metode lokalizacije. ǋihove performanse su analizirane simulacijama i eksperimentalno. Za eksperimente je korixen hardver koji je napravǉen u
sklopu istraivaǌa.
Izvedene su Kramer-Raove granice preciznosti lokalizacije za model signala u prostorno koherentnom scenariju i pokazano je da su
obrnuto srazmerne kvadratu frekvencije nosioca. Predloeno je vixe
tipova metoda za lokalizaciju { nekoherentne, polukoherentne i koherentne; metode za poznatu sekvencu (kooperativan predajnik/korisnik)
i za nepoznatu (nekooperativan predajnik); metode maksimalne verodostojnosti izvedene za jednokorisniqki potpuni LOS sluqaj i potprostorne metode. Predloene koherentne metode su statistiqki efikasne
(ǌihova preciznost dostie izvedene teorijske granice) i ostvaruju
preciznost za 2 do 3 reda veliqine boǉu od talasne duine nosioca.
Analiziran je i sluqaj vixestrukog prostiraǌa, a metode i tada ostvaruju preciznost za 2 reda veliqine boǉu od talasne duine. Takoe
funkcionixu u scenariju sa vixe (i to prostorno bliskih) predajnika
pribline snage. Pritom, potprostorne metode funkcionixu i kad je
interferirajui predajnik za 30 dB vee snage od ciǉanog. Svi ovi
rezultati su ostvareni za razumne vrednosti sistemskih parametara,
kao xto su odnosi signal-xum i broj odbiraka. Pored toga, algoritmi
funkcionixu i pri malim odnosima signal-xum, zahvaǉujui tome xto
direktno na osnovu sirovih signala proceǌuju poziciju, za razliku od
klasiqnih metoda koje gube informacije pravei meuprocene. Dodatna
povoǉnost direktne lokalizacije je xto se izbegava numeriqki zahtevan
problem asocijacije. Algoritmi funkcionixu i za kratke opservacione
intervale, zahvaǉujui zdruenoj obradi svih spektralnih komponenti
signala.</ns1:description>
    <ns1:description language="en">The thesis deals with the problem of direct coherent localization
of wideband radio signal sources, using massive MIMO (Multiple-Input-MultipleOutput) antenna systems in scenarios with spatially coherent LOS (Line-Of-Sight)
signal components. These scenarios are typically found in small cells in the mmWave
(millimeter wave) range in the fifth generation (5G) cellular systems. The localization is based on the processing of signals received by a distributed antenna array
which may include phased antenna subarrays. In this thesis, the idea is to use the
infrastructure of future 5G cellular systems for the localization in the thesis and for
communication as well.
The goal is to achieve position estimation accuracy by 2 to 3 orders of magnitude better than the carrier wavelength, which cannot be achieved by classical
methods for two-step and one-step (direct) localization. In order to achieve that,
coherent methods are used { those that, in addition to the information contained
in envelope shifts, also use the information contained in carrier phase shifts of the
LOS components. Spatial coherence of LOS components in the given cell is required
to allow this information to be used. Thus, the research deals mostly with small
cells (in LOS conditions) and the mmWave range (which has suitable propagation
conditions), but is not limited to them as long as the previous condition is satisfied.
The following research methods were used. A spatially coherent scenario was
mathematically modelled and theoretical localization accuracy bounds were derived
for it. Then, appropriate localization methods were proposed. Their performance
was analyzed by simulations and experimentally. A hardware platform built as a
part of the research was used in the experiments.
Cram´er-Rao bounds on the localization accuracy have been derived for the signal
model for the spatially coherent scenario and it has been shown that they are inversely proportional to the squared carrier frequency. Different types of localization
methods have been proposed { non-coherent, semi-coherent and coherent; knownsequence methods (cooperative transmitter/user) and unknown-sequence methods
(noncooperative transmitter); maximum-likelihood methods derived for the singleuser LOS-only scenario and subspace-based methods. The coherent methods are
statistically efficient (their accuracy approaches the derived theoretical bounds) and
an accuracy by 2 to 3 orders of magnitude better than the carrier wavelength isachieved. Multipath propagation is also analyzed and the methods achieve an accuracy by 2 orders of magnitude better than the carrier wavelength even in that case.
They also perform well in a scenario with multiple (even spatially close) transmitters with comparable powers. Additionally, the subspace-based methods perform
well even if the power of an interfering transmitter is 30 dB higher than that of the
selected one. All of these results are achieved for reasonable values of the system
parameters, such as the signal-to-noise ratio (SNR) and the number of used samples. Also, the algorithms perform well even at low SNRs, thanks to the fact that
they estimate the position directly based on the raw signals, as opposed to classical
methods which reduce the amount of useful information by making intermediate
estimates. Another advantage of direct localization is the fact that the numerically
complex data association problem is evaded. The algorithms also perform well even
for short observation intervals, owing to the joint processing of all the spectral signal
components.
</ns1:description>
    <ns1:description language="sr">Elektrotehnika - Telekomunikacije / Electrical Engineering - Telecommunications  Datum odbrane: 26.12.2019.</ns1:description>
    <ns1:keyword language="sr">širokopojasna direktna lokalizacija, prostorna koherencija, distribuirani antenski nizovi, Kramer-Raova granica, milimetarski opseg, masivni višeantenski sistemi, fazirane antenskerešetke</ns1:keyword>
    <ns1:keyword language="en">wideband direct localization, spatial coherence, distributed antennaarrays, Cram´er-Rao bound, mmWave, massive MIMO, phased antenna arrays</ns1:keyword>
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      <ns1:ext_role>mentor</ns1:ext_role>
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        <ns3:firstname> Nenad J., 1988-, 54589193</ns3:firstname>
        <ns3:lastname>Vukmirović</ns3:lastname>
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      <ns1:role>63</ns1:role>
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        <ns3:firstname> Miljko, 1955-, 17471335</ns3:firstname>
        <ns3:lastname>Erić</ns3:lastname>
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      <ns1:ext_role>član komisije</ns1:ext_role>
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        <ns3:firstname> Predrag, 1974-, 12875367</ns3:firstname>
        <ns3:lastname>Ivaniš</ns3:lastname>
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      <ns1:entity seq="0">
        <ns3:firstname> Petar M., 54891273</ns3:firstname>
        <ns3:lastname>Đurić</ns3:lastname>
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      <ns1:date>2019</ns1:date>
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    <ns1:format>117 листова</ns1:format>
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