Dissertations / Theses on the topic 'MIMO'
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Ladaycia, Abdelhamid. "Annulation d’interférences dans les systèmes MIMO et MIMO massifs (Massive MIMO)." Thesis, Sorbonne Paris Cité, 2019. http://www.theses.fr/2019USPCD037.
Full textMIMO systems use sensor arrays that can be of large-scale (massive MIMO) and are seen as a potential candidate for future digital communications standards at very high throughput. A major problem of these systems is the high level of interference due to the large number of simultaneous transmitters. In such a context, ’conventional’ orthogonal pilot design solutions are expensive in terms of throughput, thus allowing for the so-called ’blind’ or ’semi-blind’ channel identification solutions to come back to the forefront as interesting solutions for identifying or deconvolving these MIMO channels. In this thesis, we started with a comparative performance analysis, based on CRB, to quantify the potential size reduction of the pilot sequences when using semi-blind methods that jointly exploit the pilots and data. Our analysis shows that, up to 95% of the pilot samples can be suppressed without affecting the channel estimation performance when such semi-blind solutions are considered. After that, we proposed new methods for semi-blind channel estimation, that allow to approach the CRB. At first, we have proposed a SB estimator, LS-DF which allows a good compromise between performance and numerical complexity. Other SB estimators have also been introduced based on the subspace technique and on the ML approach, respectively. The latter is optimized via an EM algorithm for which three reduced cost versions are proposed. In the case of a specular channel model, we considered a parametric estimation method based on times of arrival estimation combined with the DF technique
Botonjic, Aida. "MIMO kanalmodeler." Thesis, Linköping University, Department of Science and Technology, 2004. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-2188.
Full textThe objective of this diploma work is to investigate a set of Multiple Input Multiple Output (MIMO) channel models compatible with the emerging IEEE 802.11n standard. This diploma work validates also advanced, innovative tools and wireless technologies that are necessary to facilitate wireless applications while maximizing spectral efficiency and throughput.
MIMO channel models can be used to evaluate new Wireless Local Area Network (WLAN) proposals based on multiple antenna technologies.
The purpose of this thesis is to investigate means of channel models and their implementation in different environments such as: Matlab, C++ and Advanced Design Systems (ADS). The investigation considers also a comparison between the channel models based on theoretical data and parameter setup to the channel models based on statistical characteristics obtained from measured data.
Investigation and comparison of a MIMO channel models consider steering channel matrix H, spatial correlation coefficients, power delay profiles, fading characteristics and Doppler power spectrum.
Choi, Lai U. "Multi-user MISO and MIMO transmit signal processing for wireless communication /." View Abstract or Full-Text, 2003. http://library.ust.hk/cgi/db/thesis.pl?ELEC%202003%20CHOI.
Full textIncludes bibliographical references (leaves 167-170). Also available in electronic version. Access restricted to campus users.
Ma, Shaodan. "Semi-blind signal detection for MIMO and MIMO-OFDM systems." Click to view the E-thesis via HKUTO, 2006. http://sunzi.lib.hku.hk/hkuto/record/B36846569.
Full textMa, Shaodan, and 馬少丹. "Semi-blind signal detection for MIMO and MIMO-OFDM systems." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2006. http://hub.hku.hk/bib/B36846569.
Full textNegrão, João Lucas. "Efficient detection : from conventional Mimo to massive Mimo communication systems." Universidade Estadual de Londrina. Centro de Tecnologia e Urbanismo. Programa de Pós-Graduação em Engenharia Elétrica, 2018. http://www.bibliotecadigital.uel.br/document/?code=vtls000218370.
Full textThroughout this work, problems related to communication systems equipped with multiple antennas in the transmitter and receiver (MIMO - Multiple-Input Multiple-Output) are analyzed from the point of view of classical detection, nonlinear optimization, as well as linear pre-coding, from conventional MIMO (some Tx and Rx antennas) to large-scale (massive) MIMO systems. Initially, the detection efficiency of several MIMO detectors were analyzed under the prerogative of highly correlated channels, in which situation, MIMO systems present a high loss of performance, and, in some cases, an increasing complexity. Considering this scenario, we have specifically studied the behavior in terms of compromise complexity x bit error rate (BER), for different detection techniques, such as the successive interference cancellation (SIC), lattice reduction (LR), as well as the combination of each of these with linear detection techniques. In this analysis, different uniform antenna structures with uniform linear array (ULA) and planar array array (UPA) were also considered in both transmitter and receiver side. In addition, different number of antennas and order of modulation were also considered. Next, the MIMO detection problem was studied from a nonlinear optimization perspective, specifically aiming to achieve optimum performance. The detection solution with semi-defined relaxation (SDR - it semidefinite relaxation) were analyzed. The SDR-MIMO detector is an efficient approach capable of achieving near-optimal performance, especially for low and medium modulation orders. We focused our efforts on developing a computationally efficient approach for the maximum likelihood (ML) MIMO detection algorithm based on semi-definite programming (SDP) for M-QAM constellations. Finally, we study an optimal power allocation problem aiming to maximizes the sum-rate capacity of a single cell massive MIMO broadcast channel equipped with zero-forcing beamforming (ZFBF) and regularized channel inversion (RCI) precoding at the base station (BS). Our purpose is to investigate this problem in the large-scale system limit, i.e, when the number of users, K, and antennas at the BS, M, tend to infinity with a ratio β = K/M being held constant. We first derive the signal to interference plus noise (SINR) ratio for both chosen precoders. Then we investigate optimal power allocation schemes that maximize the sum-rate per antenna under an average power constraint and we show that the problem is convex and the power allocation follows the well-known Water-Filling strategy. We also studied a problem related to an optimal power allocation at a finite group of clustered users and determine the impact of this scheme in the ergodic sum-rate capacity.
Janhunen, J. (Janne). "Programmable MIMO detectors." Doctoral thesis, Oulun yliopisto, 2011. http://urn.fi/urn:isbn:9789514296598.
Full textTiivistelmä Usean antennin tekniikka yhdistettynä ortogonaaliseen taajuusvaihtelumodulointiin lähetin-vastaanotimessa on esitetty eräänä lupaavana ratkaisuna jatkuvasti kasvaviin kapasiteetti- ja palvelunlaatuvaatimuksiin langattomissa tietoliikennejärjestelmissä. Tehokas radiospektrin käyttö edellyttää joustavaa lähetin-vastaanotinratkaisua, mikä on ollut syynä ohjelmistoradioteknologioiden kehitykselle. Ohjelmistoradioiden kehityksen on puolestaan odotettu mahdollistavan kognitiiviradioiden syntymisen. Tuloksena, mikä tahansa radiosovellus voitaisiin herättää tarpeen mukaan millä tahansa ohjelmoitavalla sovellusalustalla. Tässä väitöskirjatyössä tutkitaan ilmaisinalgoritmeja sekä ohjelmoitavia prosessoriarkkitehtuureja tarkoituksena löytää käytännöllisiä ratkaisuja tulevaisuuden langattomiin järjestelmiin. Ohjelmoitavalla vastaanottimella voidaan vähentää vastaanottimen energiankulutusta vaihtamalla ilmaisinalgoritmeja vallitsevan kanavatilan mukaan. Työssä esitellään laaja, viimeisintä tutkimusta edustava ilmaisinalgoritmivertailu, joka antaa realistisen näkökannan toteutuksiin erilaisissa kanavatiloissa. Lisäksi työssä esitellään numeroaritmetiikka- ja sananpituustutkimus, jonka tarkoituksena on arvioida toteutusten realistista kovokompleksisuutta sekä energiankulutusta. Tutkimus sisältää kattavan suunnitteluketjun algoritmikehityksestä todelliseen prosessorisuunnitteluun ja lopulta algoritmin ohjelmointiin tietylle sovellusalustalle. Väitöskirjatyössä arvioidaan yksi- ja moniytimisiä prosessoritoteutuksia vertaamalla saavutettuja tuloksia Long Term Evolution -standardin suorituskykyvaatimuksiin. Ilmaisimia toteutetaan digitaalisilla signaaliprosessoreilla, grafiikkaprosessorilla sekä siirtoliipaisuarkkitehtuurilla. Toteutustuloksia vertaillaan laskentatehona, pinta-alana sekä energiatehokkuutena. Lopuksi käsitellään arkkitehtuurien hyviä ja huonoja puolia sekä suunnittelun työläyttä
Basnayaka, Dushyantha. "Macrodiversity MIMO Transceivers." Thesis, University of Canterbury. Electrical and Computer Engineering, 2012. http://hdl.handle.net/10092/7266.
Full textXiao, Hui. "MIMO channel modeling." Thesis, University of York, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.479187.
Full textKančo, Vít. "Simulace MIMO systémů." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2010. http://www.nusl.cz/ntk/nusl-218624.
Full textTaparugssanagorn, A. (Attaphongse). "Evaluation of MIMO radio channel characteristics from TDM-switched MIMO channel sounding." Doctoral thesis, University of Oulu, 2007. http://urn.fi/urn:isbn:9789514286506.
Full textBorgmann, Moritz. "Noncoherent MIMO wideband communications /." Zürich : ETH, 2007. http://e-collection.ethbib.ethz.ch/show?type=diss&nr=17352.
Full textImran, Muhammad, and Khursheed Khursheed. "MIMO Multiplierless FIR System." Thesis, Department of Electrical Engineering, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-20575.
Full textThe main issue in this thesis is to minimize the number of operations and the energy consumption per operation for the computation (arithmetic operation) part of DSP circuits, such as Finite Impulse Response Filters (FIR), Discrete Cosine Transform (DCT), and Discrete Fourier Transform (DFT) etc. More specific, the focus is on the elimination of most frequent common sub-expression (CSE) in binary, Canonic Sign Digit (CSD), Twos Complement or Sign Digit representation of the coefficients of non-recursive multiple input multiple output (MIMO) FIR system , which can be realized using shift-and-add based operations only. The possibilities to reduce the complexity i.e. the chip area, and the energy consumption have been investigated.
We have proposed an algorithm which finds the most common sub expression in the binary/CSD/Twos Complement/Sign Digit representation of coefficients of non-recursive MIMO multiplier less FIR systems. We have implemented the algorithm in MATLAB. Also we have proposed different tie-breakers for the selection of most frequent common sub-expression, which will affect the complexity (Area and Power consumption) of the overall system. One choice (tie breaker) is to select the pattern (if there is a tie for the most frequent pattern) which will result in minimum number of delay elements and hence the area of the overall system will be reduced. Another tie-breaker is to choose the pattern which will result in minimum adder depth (the number of cascaded adders). Minimum adder depth will result in least number of glitches which is the main factor for the power consumption in MIMO multiplier less FIR systems. Switching activity will be increased when glitches are propagated to subsequent adders (which occur if adder depth is high). As the power consumption is proportional to the switching activity (glitches) hence we will use the sub-expression which will result in lowest adder depth for the overall system.
Wilcox, D. C. "MIMO radar direction finding." Thesis, Queen's University Belfast, 2011. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.546432.
Full textChen, Danshan. "Precoding for MIMO systems." Thesis, University of York, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.535046.
Full textChoi, Seung-Ho. "Severely Fading MIMO Channels." Thesis, University of Canterbury. Electrical and Computer Engineering, 2007. http://hdl.handle.net/10092/1190.
Full textCommin, Henry. "Spatiotemporal arrayed MIMO radar." Thesis, Imperial College London, 2013. http://hdl.handle.net/10044/1/12637.
Full textDu, Hao. "Optical wireless MIMO communication." Thesis, University of Warwick, 2015. http://wrap.warwick.ac.uk/70945/.
Full textČirkić, Mirsad. "Efficient MIMO Detection Methods." Doctoral thesis, Linköpings universitet, Kommunikationssystem, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-103675.
Full textBennia, Abdelhak. "Mimo systems parameters identification." Thesis, Virginia Tech, 1986. http://hdl.handle.net/10919/41579.
Full textIn this thesis, a presentation of a new canonical representation of multi-input multioutput systems is given. The new characterization covers the full range of practical situations in linear systems according to the structural properties and model of the perturbations which are known. Its direct link to ARMA processes as well as to classical state space representation ls also given.
The importance of the new representation lies in the fact that all unknown parameters and state variables appear linearly multlplied by either external variables (inputs and outputs) that appear in the data record, or by matrices that are only composed of ieroes and ones. This property enables us to perform a joint state and parameters estimation. Moreover, if the noises are gaussian and their statistics are known, an on-line algorithm that involves a standard dlscrete-time time-varying Kalman filter is proposed and used successfully in the estimation of unknown parameters for simulated examples.
Master of Science
Luo, Kai. "MIMO radar : target localisation." Thesis, Imperial College London, 2013. http://hdl.handle.net/10044/1/11148.
Full textKarlsson, Marcus. "Aspects of Massive MIMO." Licentiate thesis, Linköpings universitet, Kommunikationssystem, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-132718.
Full textDet ställs hårda krav på nästa generations cellulära trådlösa system: att simultant öka datatakten på kommunikationen och dess tillförlitlighet utan att konsumera mer resurser, oavsett om det spektrum eller energi. Massiv mimo (eng: Multiple-Input Multiple-Output) har visat, både i teori och praktik, att tekniken är redo att tackla utmaningen. Massiv mimo kan betjäna många användare samtidigt, med god service, utan att öka den utstrålade effekten jämfört med nuvarande system. Massiv mimo, där basstationerna är utrustade med hundratals antenner, skiljer sig från dagens system vilket gör att många nya problem dyker upp och nya infallsvinklar på befintliga problem krävs. Denna avhandling analyserar två problem, och hur dessa förändras i ett massiv mimo sammanhang: säkerhet för fysiska lagret och överföring av systeminformation. Särskiljt visas att en störsändare med ett stort antal antenner kan överträffa en traditionell störsändare med en enda antenn. Antalet antenner ger störsändaren möjlighet att hitta strukturer i signaler och utnyttja detta för att förbättra störningens effekt. Det stora antalet antenner visar sig vara användbart även för överföring av systeminformation, där basstationen inte har någon kanalkännedom. Antennerna ger möjligheten att tillämpa spatial kodning (eng: space-time block coding). Vi visar hur överföringen utan kanalkännedom kan göras i massiv mimo genom att använda en fix förkodningsmatris för att reducera antalet pilotsymboler. Samtidigt kodar vi spatiellt över antennerna för att tillhandahålla spatiell diversitet.
Wannas, Hussain. "Full Duplex Multiuser MIMO with Massive Arrays." Thesis, Linköpings universitet, Institutionen för systemteknik, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-105268.
Full textSharma, Maneesha. "Effective channel state information (CSI) feedback for MIMO systems in wireless broadband communications." Thesis, Queensland University of Technology, 2014. https://eprints.qut.edu.au/71549/2/Maneesha_Sharma_Thesis.pdf.
Full textLessa, Carmen Lúcia Avelar. "Esquema para transmissão utilizando MIMO com cooperação de usuários." [s.n.], 2011. http://repositorio.unicamp.br/jspui/handle/REPOSIP/261418.
Full textDissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Elétrica e de Computação
Made available in DSpace on 2018-08-19T21:07:30Z (GMT). No. of bitstreams: 1 Lessa_CarmenLuciaAvelar_M.pdf: 2504273 bytes, checksum: 47a502a9d17e8b31113225b0cb9926c3 (MD5) Previous issue date: 2011
Resumo: Neste trabalho é proposta uma estratégia para transmissão digital utilizando cooperação de usuários em conjunto com a tecnologia de múltiplas antenas (MIMO - do inglês. Multiple Input Multiple Output). Em um primeiro modelo de sistema foi utilizada a tecnologia CDMA (do inglês, Code Division Multiple Access) para distinção entre as mensagens dos usuários. Já em um segundo modelo sugerido foram utilizadas as técnicas do Descorrelacionador e a Decomposição em Valores Singulares (SVD - do inglês, Singular Value Decomposition) para permitir a cooperação entre os usuários sem a necessidade de multiplexação por código. Neste trabalho é apresentado como a cooperação entre os usuários pode ser feita utilizando várias antenas. Como exemplo foi considerado um regime de cooperação para o canal MIMO com dois usuários com uma única antena e o receptor com duas antenas. O cálculo da probabilidade de erro para este caso foi desenvolvido
Abstract: This work proposes user cooperation strategy using multiple antennas technology (MIMO). In a first model it was used a Code Division Multiple Access (CDMA) system and in a second model was applied the techniqucs of the Decorrclator and Singular Value Decomposition (SVD) to allow cooperation of users. It is show how cooperation using different numbers of antennas can be accomplished. It was considered a cooperation scheme for MIMO MAC channel with two users having single antenna and the reciver with two antennas. The results show that user cooperation with multiple antennas reduces the bit error probability
Mestrado
Telecomunicações e Telemática
Mestre em Engenharia Elétrica
Fu, Wenjun. "From the conventional MIMO to massive MIMO systems : performance analysis and energy efficiency optimization." Thesis, University of Edinburgh, 2017. http://hdl.handle.net/1842/25672.
Full textLüthi, Peter Jan. "VLSI circuits for MIMO preprocessing." Konstanz Hartung-Gorre, 2009. http://d-nb.info/100000290X/04.
Full textStanković, Veljko. "Multi-user MIMO wireless communications." [S.l.] : [s.n.], 2007. http://deposit.ddb.de/cgi-bin/dokserv?idn=985258039.
Full textSrinivasan, Ramya. "Throughput optimization in MIMO networks." Diss., Georgia Institute of Technology, 2011. http://hdl.handle.net/1853/42735.
Full textAldayel, Omar. "Evaluation of MIMO Non- Stationarity." Thesis, KTH, Signalbehandling, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-53761.
Full textWeikert, Oomke Einar. "Blinde Demodulation in MIMO-Übertragungssystemen." Berlin dissertation.de, 2007. http://www.dissertation.de/buch.php3?buch=5228.
Full textJayasooriya, Chandana K. K. "Compact antennas for mimo communications." Diss., Wichita State University, 2013. http://hdl.handle.net/10057/7024.
Full textThesis (Ph.D.)--Wichita State University, College of Engineering, Dept. of Electrical Engineering and Computer Science
Liu, Di. "Tensor precoding for MIMO systems." Thesis, University of York, 2011. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.546819.
Full textManning, David Patrick. "Analysis of MIMO Relay Chains." Thesis, University of Canterbury. Electrical and Computer Engineering, 2011. http://hdl.handle.net/10092/5885.
Full textShang, Cheng Yu Andy. "Linear transceivers for MIMO relays." Thesis, University of Canterbury. Electrical and Electronic Engineering, 2014. http://hdl.handle.net/10092/9514.
Full textAlnajjar, Khawla. "Receiver Design for Massive MIMO." Thesis, University of Canterbury. Electrical and Computer Engineering, 2015. http://hdl.handle.net/10092/10517.
Full textWu, Zhuo. "MIMO techniques in cellular systems." Thesis, University of York, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.423603.
Full textFan, Yijia. "MIMO communications over relay channels." Thesis, University of Edinburgh, 2006. http://hdl.handle.net/1842/10884.
Full textWe then move to the multi-antenna node scenario, where each node is equipped with multiple antennas. We propose different signalling methods and routing protocols for MIMO relay channels and use capacity as a performance metric to evaluate and compare them. The proposed signalling methods can be applied together with the proposed routing schemes. Incorporating them can facilitate the cross-layer design. Finally, we discuss a network scenario where some nodes are equipped with multiple antennas, others are equipped with single antennas. We constrain ourselves to the case where the source and destination are equipped with a single antenna. We characterize the capacity performance and the diversity-multiplexing tradeoff of such a network. We show that relaying can offer a significant performance advantage over non-relay transmission in certain scenarios, by applying signal combining techniques for the point-to-point MIMO link into relay channels.
Iltis, Ronald A. "Localization Using CDMA-MIMO Radar." International Foundation for Telemetering, 2010. http://hdl.handle.net/10150/605975.
Full textA MIMO radar system for target localization is presented which uses direct-sequence CDMA (DS-CDMA) waveforms. The received DS-CDMA signal at each antenna is expressed directly in terms of the target positions. The waveforms employed are Gold sequences, and hence are not exactly orthogonal. A generalized successive interference cancellation (GSIC) approach is used to resolve multiple scatterers and reduce clutter. Simulation results are presented which suggest the capability to detect weak scatterers in the presence of clutter using the cancellation method.
Gonzalez, Perez Miryam Guadalupe. "Scaling up virtual MIMO systems." Thesis, University of Edinburgh, 2018. http://hdl.handle.net/1842/31321.
Full textSingh, Parth Raj. "Source localization with MIMO systems." Thesis, Nantes, 2017. http://www.theses.fr/2017NANT4043/document.
Full textSources localization is used in radar, sonar, and telecommunication. Radar has numerous civilian and military applications. Radar system has gone through many developments over the last few decades and reached the latest version known as MIMO radar. A MIMO radar is composed of multiple transmitting and receiving antennas like a conventional phased array radar. However, its transmitting antennas transmit linearly independent signals so that they can be easily identified by the matched filters bank at its receiving end. The matched filtered signals are then processed to extract the ranges, DOAs, DODs, velocities, etc. of the targets. A bistatic MIMO radar system provides high resolution, spatial diversity, parameter identifiability, etc. which inspired us to use it in this work. There are many existing methods to deal with the far field region of MIMO radar system. However, little work can be found on the near field region of a bistatic MIMO radar which motivated the work in this thesis. Near field targets localization is also important because of many indoor applications. Most of the existing near field sources localization techniques use Fresnel approximation in which the real spherical wavefront is assumed quadric unlike planar in far field situation. In this work we have proposed a novel near field targets localization method using Fresnel approximation. The Fresnel approximation leads to a biased estimation of the location parameters because the true wavefront is spherical. Consequently, we have proposed two correction methods to reduce the effects of Fresnel approximation and other two methods which directly use the exact signal model based on spherical wavefront
Булашенко, А. В., and О. С. Вус. "Технологія MIMO в безпровідному зв'язку." Thesis, Сумський державний університет, 2017. http://essuir.sumdu.edu.ua/handle/123456789/66969.
Full textMota, Susana de Jesus. "Channel modelling for MIMO systems." Doctoral thesis, Universidade de Aveiro, 2014. http://hdl.handle.net/10773/14961.
Full textSystems equipped with multiple antennas at the transmitter and at the receiver, known as MIMO (Multiple Input Multiple Output) systems, offer higher capacities, allowing an efficient exploitation of the available spectrum and/or the employment of more demanding applications. It is well known that the radio channel is characterized by multipath propagation, a phenomenon deemed problematic and whose mitigation has been achieved through techniques such as diversity, beamforming or adaptive antennas. By exploring conveniently the spatial domain MIMO systems turn the characteristics of the multipath channel into an advantage and allow creating multiple parallel and independent virtual channels. However, the achievable benefits are constrained by the propagation channel’s characteristics, which may not always be ideal. This work focuses on the characterization of the MIMO radio channel. It begins with the presentation of the fundamental results from information theory that triggered the interest on these systems, including the discussion of some of their potential benefits and a review of the existing channel models for MIMO systems. The characterization of the MIMO channel developed in this work is based on experimental measurements of the double-directional channel. The measurement system is based on a vector network analyzer and a two-dimensional positioning platform, both controlled by a computer, allowing the measurement of the channel’s frequency response at the locations of a synthetic array. Data is then processed using the SAGE (Space-Alternating Expectation-Maximization) algorithm to obtain the parameters (delay, direction of arrival and complex amplitude) of the channel’s most relevant multipath components. Afterwards, using a clustering algorithm these data are grouped into clusters. Finally, statistical information is extracted allowing the characterization of the channel’s multipath components. The information about the multipath characteristics of the channel, induced by existing scatterers in the propagation scenario, enables the characterization of MIMO channel and thus to evaluate its performance. The method was finally validated using MIMO measurements.
Os sistemas equipados com múltiplas antenas no emissor e no recetor, conhecidos como sistemas MIMO (Multiple Input Multiple Output), oferecem capacidades mais elevadas, permitindo melhor rentabilização do espectro e/ou utilização de aplicações mais exigentes. É sobejamente sabido que o canal rádio é caracterizado por propagação multipercurso, fenómeno considerado problemático e cuja mitigação tem sido conseguida através de técnicas como diversidade, formatação de feixe ou antenas adaptativas. Explorando convenientemente o domínio espacial os sistemas MIMO transformam as características multipercurso do canal numa mais-valia e permitem criar vários canais virtuais, paralelos e independentes. Contudo, os benefícios atingíveis são condicionados pelas características do canal de propagação, que poderão não ser sempre as ideais. Este trabalho centra-se na caracterização do canal rádio para sistemas MIMO. Inicia-se com a apresentação dos resultados fundamentais da teoria da informação que despoletaram todo o entusiamo em torno deste tipo de sistemas, sendo discutidas algumas das suas potencialidades e uma revisão dos modelos existentes para sistemas MIMO. A caracterização do canal MIMO desenvolvida neste trabalho assenta em medidas experimentais do canal direcional adquiridas em dupla via. O sistema de medida é baseado num analisador de redes vetorial e numa plataforma de posicionamento bidimensional, ambos controlados por um computador, permitindo obter a resposta em frequência do canal rádio nos vários pontos correspondentes à localização dos elementos de um agregado virtual. As medidas são posteriormente processadas com o algoritmo SAGE (Space-Alternating Expectation-Maximization), de forma a obter os parâmetros (atraso, direção de chegada e amplitude complexa) das componentes multipercurso mais significativas. Seguidamente, estes dados são tratados com um algoritmo de classificação (clustering) e organizados em grupos. Finalmente é extraída informação estatística que permite caracterizar o comportamento das componentes multipercurso do canal. A informação acerca das características multipercurso do canal, induzidas pelos espalhadores (scatterers) existentes no cenário de propagação, possibilita a caracterização do canal MIMO e assim avaliar o seu desempenho. O método foi por fim validado com medidas MIMO.
Rashid, Imran. "MIMO multi-hop relay systems." Thesis, University of Manchester, 2011. https://www.research.manchester.ac.uk/portal/en/theses/mimo-multihop-relay-systems(f8d60fed-c19c-419d-b14f-7defc4721bc3).html.
Full textGaur, Sudhanshu. "Interference management in MIMO networks." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2008. http://hdl.handle.net/1853/24769.
Full textCommittee Chair: Mary Ann Ingram; Committee Member: Geoffrey Li; Committee Member: Gregory Durgin; Committee Member: Prasad Tetali; Committee Member: Raghupathy Sivakumar.
Shahabuddin, S. (Shahriar). "MIMO detection and precoding architectures." Doctoral thesis, Oulun yliopisto, 2019. http://urn.fi/urn:isbn:9789526222837.
Full textTiivistelmä Moni-tulo moni-lähtö (MIMO) -tekniikoita on sopeutettu kolmannen sukupolven (3G) langattomasta viestintästandardista alkaen spektritehokkuuden, tiedonsiirtonopeuden ja luotettavuuden parantamiseksi. MIMO-teknologioilla on useita hyviä puolia suhteessa peruskaistan vastaanottimeen, mutta samalla monimutkaisuus on lisääntynyt. VLSI-arkkitehtuurien tutkimus MIMO-signaalinkäsittelyssä on sen vuoksi herättänyt paljon kiinnostusta viimeisen kahden vuosikymmenen aikana. Myös MIMO:n saavuttama asema viidennen sukupolven (5G) viestintästandardin pääteknologiana on lisännyt kiinnostusta VLSI-arkkitehtuureihin MIMO-viestinnän tutkimuksessa. Tässä tutkielmassa on tutkittu erilaisia VLSI-arkkitehtuureja MIMO-signaalien tunnistus- ja esikoodausalgoritmeissa. Signaalien tunnistus ja esikoodaus ovat peruskaistaa käyttävän MIMO-vastaanottimen monimutkaisimmat osa-alueet. Tutkielmassa on keskitytty algoritmien ja arkkitehtuurien optimointiin ja esitetty useita VLSI-arkkitehtuureja MIMO-signaalien tunnistusta ja esikoodausta varten. Tutkielmassa on ehdotettu sovelluskohtaisen prosessorin (Application Specific Instruction-set Processor eli ASIP) käyttä pienen mittakaavan monimuotodetektorissa. Detektorin rakenne tukee samanaikaisesti keskineliöpoikkeaman minimointia (MMSE), SSFE (Selective Spanning with Fast Enumeration) -algoritmia ja LSD (List Sphere Detection) -algoritmia. Lisäksi tässä tutkielmassa ehdotetaan monisuoritinarkkitehtuuria hilan redusointialgoritmille (Lattice Reduction eli LR). LR-algoritmia varten ehdotetaan muokattua Lenstra-Lenstra-Lovasz (LLL) -algoritmia vähentämään alkuperäisen LLL-algoritmin monimutkaisuutta. Lisäksi MIMO-signaalien tunnistusalgoritmin perustaksi ehdotetaan vuorottelevaa kertoimien suuntaustapaa Alternating Direction Method of Multipliers eli ADMM). ADMM-perustaisesta taajuusvasteen rajoitetusta ääretön-normi-korjauksesta (infinity norm constrained equalization) käytetään nimitystä ADMIN-algoritmi. ADMIN-tunnistusalgoritmi toteutetaan sovelluskohtaisena integroituna piirinä (Application-Specific Integrated Circuit eli ASIC) ohjelmoitavaa porttimatriisia (Field Programmable Gate Array eli FPGA) varten. Lisäksi ehdotetaan ASIP-monimuotoesikooderin käyttöä. ASIP-esikooderin rakenne tukee normiperustaista aikataulutusta, QR-hajotelmaa, MMSE-esikoodausta ja likaisen paperin koodaukseen (Dirty Paper Coding eli DPC) perustuvaa esikoodausta
Stimming, Christian. "Multiple antenna concepts in OFDM transmission systems." Göttingen Cuvillier, 2009. http://d-nb.info/995846030/04.
Full textChan, Wing Chau. "Performance limits of MIMO wireless communications /." View abstract or full-text, 2006. http://library.ust.hk/cgi/db/thesis.pl?ECED%202006%20CHANW.
Full textMathew, Jerry George. "MIMO equalization." Thesis, 2005. http://hdl.handle.net/10413/2815.
Full textThesis (M.Sc.Eng.)-University of KwaZulu-Natal, Durban, 2005.
Cabral, Lorenzo Jose Barbosa. "Massive MIMO." Master's thesis, 2017. http://hdl.handle.net/10071/14821.
Full textAs the 5th Generation of wireless comunications approaches we antecipate the provision of better services with much higher transmission speeds. This leads inevitably to an increase of the devices and users of the network, due to new technologies, such as the IoT. On the other hand there are numerous difficulties associated with high signal dispersion due to its multipath propagation, highth rates and high power efficiency as well as the expection of larger capacity and flexibility in this new system. In a nutshell: the growth of the complexity of these systems is the great challenge of the 5G. The answer for all this issues is essencial for the development of these wireless technologies. The massive MIMO technology presents itself as a strong candidate for the requirements demanded by 5G and it promises to be efficient, safe and reliable. However, all these benefits bring a huge increase of complexity due to the multiple signals involved in the transmission of a large number of antennas. On the other hand, there are techniques that implement very complex environments employing OFDM, SC-FDE and IB-DFE reception schemes, which offer great performance in terms of efficiency at the expense of an increase of complexity due to matrix opperations involved. Besides, there are algorithms that employ MRC and EGC techniques that help to significantly reduce the complexity of the system since they do not include matrix operations. Notwithstanding, these techniques lose performance to the other ones. Having said that, our proposal is the implementation of an optimal performance frequency-domain IB-DFE receiver, combined with MRC/EGC techniques, that is able to perform in massive MIMO environment and uplink transmission. Therefore we will be able to get the best of both approaches, ensuring the optimal performance of the system and a reduction of the complexity of the implementation.