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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
141

Recursive Passive Localization Methods Using Time Difference Of Arrival

Camlica, Sedat 01 October 2009 (has links) (PDF)
In this thesis, the passive localization problem is studied. Robust and recursive solutions are presented by the use of Time Difference of Arrival (TDOA). The TDOA measurements are assumed to be gathered by moving sensors which makes the number of the sensors increase synthetically. First of all, a location estimator should be capable of processing the new measurements without omitting the past data. This task can be accomplished by updating the estimate recursively whenever new measurements are available. Convenient forms of the recursive filters, such as the Kalman filter, the Extended Kalman filter etc., can be applied. Recursive filter can be divided to two major groups: (a) The first type of recursive estimators process the TDOA measurements directly, and (b) the second type of the recursive estimators is the post processing estimators which process the TDOA indirectly, instead they fuse or smooth available location estimates. In this sense, recursive passive localization methods are presented for both types. In practice, issues like being spatially distant from each other and/or a radar with a rotating narrow beam may prevent the sensors to receive the same pulse. In such a case, the sensors can not construct common TDOA measurements which means that they can not accomplish the location estimation procedure. Additionally, there may be more than one sensor group making TDOA measurements. An estimator should be capable of fusing the measurements from different sensor groups. A sensor group consists of sensors which are able to receive the same pulse. In this work, solutions of these tasks are also given. Performances of the presented methods are compared by simulation studies. The method having the best performance, which is based on the Kalman Filter, is also capable of estimating the track of a moving emitter by directly processing the TDOA measurements.
142

Mutual Coupling Calibration Of Antenna Arrays For Direction-of-arrival Estimation

Aksoy, Taylan 01 February 2012 (has links) (PDF)
An antenna array is an indispensable portion of a direction-of-arrival (DOA) estimation operation. A number of error sources in the arrays degrade the DOA estimation accuracy. Mutual coupling effect is one of the main error sources and should be corrected for any antenna array. In this thesis, a system theoretic approach is presented for mutual coupling characterization of antenna arrays. In this approach, the idea is to model the mutual coupling effect through a simple linear transformation between the measured and the ideal array data. In this context, a measurement reduction method (MRM) is proposed to decrease the number of calibration measurements. This new method dramatically reduces the number of calibration measurements for omnidirectional antennas. It is shown that a single calibration measurement is sufficient for uniform circular arrays when MRM is used. The method is extended for the arrays composed of non-omnidirectional (NOD) antennas. It is shown that a single calibration matrix can not properly model the mutual coupling effect in an NOD antenna array. Therefore, a sectorized calibration approach is proposed for NOD antenna arrays where the mutual coupling calibration is done in angular sectors. Furthermore, mutual coupling problem is also investigated for antenna arrays over a perfect electric conductor plate. In this case, reflections from the plate lead to gain/phase mismatches in the antenna elements. In this context, a composite matrix approach is proposed where mutual coupling and gain/phase mismatch are jointly modelled by using a single composite calibration matrix. The proposed methods are evaluated over DOA estimation accuracies using Multiple Signal Classification (MUSIC) algorithm. The calibration measurements are obtained using the numerical electromagnetic simulation tool FEKO. The evaluation results show that the proposed methods effectively realize the mutual coupling calibration of antenna arrays.
143

Tours of non-arrival: the politics of escape in tourist practices

Bagelman, Caroline Patricia 31 August 2009 (has links)
The prevalent frame of 'tourism as vacation' explicitly implies that one vacates 'the familiar' and escapes to 'the foreign'. Discourses of escape, therefore, function on the assumption that a rather clean and uncomplicated rupture between the familiar and foreign takes place (an assumption not only informing conventional readings and practices of tourism, but also the modern logic of states and citizenship and modern thought more broadly). A failure to account for the effects of this escapist logic on both the performance and materialization of tourism, as well as the ways in which tourism has come to reflect profound political problematics endemic to modern thought, has produced a serious gap in 'critical tourism' literature. To contest this notion of rupture, or, to disrupt escape, requires what Judith Butler terms a ‘radical re-articulation’ of tourism. In hopes to excite such a disruption, my work draws on Jacques Derrida’s texts concerning ‘non-arrival’ and ultimately re-articulates tourism as a practice of everyday life.
144

Baltojo gandro Ciconia ciconia gausumas ir erdvinis pasiskirstymas, perėjimo buveinių pasirinkimas, perėjimo sėkmingumas ir pavasarinis atskridimas arealo šiaurės vakarų periferijoje / Abundance and spatial distribution, breeding habitat selection, breeding success and spring arrival of the white stork Ciconia ciconia in the north-western periphery of the range

Vaitkuvienė, Daiva 30 December 2014 (has links)
Darbo metu buvo nustatyti baltojo gandro gausumo ir erdvinio pasiskirstymo bei lizdaviečių pasirinkimo pokyčiai 1994–2010 metais, ištirti perėjimo buveinės pasirinkimo dėsningumai bei perėjimo sėkmingumo priklausomybė nuo kai kurių buveinės charakteristikų. Baltojo gandro perėjimo buveinės pasirinkimo tyrimai atlikti su 8,4 % pasaulinės perinčios baltojo gandro populiacijos, esančios arealo šiaurės vakarų periferijoje, susitelkusios teritorijoje, užimančioje 1,1 % arealo ploto. Buvo nustatyta, kad tyrimų teritorijoje per 1994–2010 metų laikotarpį ženkliai išaugus baltojo gandro gausumui, paukščiai prisitaikė perėti naujo tipo lizdavietėse – ant elektros oro linijų atramų. Šis prisitaikymas reprodukciniu požiūriu buvo iš dalies neadaptyvus dėl patikimai mažesnio perėjimo sėkmingumo lizduose, susuktuose ant eksploatuojamų elektros oro linijų atramų. Remiantis ilgalaikiais baltojo gandro pirmo atskridimo datos duomenimis, rinktais 1961–2000 metais, buvo nustatytas reikšmingas pavasarinio atskridimo datos į perimvietes arealo šiaurės vakarų periferijoje paankstėjimas. Taip pat buvo nustatyti veiksniai, lemiantys pirmo pavasarinio atskridimo į perimvietes datą. Darbe buvo nustatyti pagrindiniai, perinčiam baltajam gandrui grėsmę keliantys veiksniai, įvertintas jų reikšmingumas ir pasiūlytos neigiamo jų poveikio šiai Europos Sąjungoje saugomai rūšiai sumažinimo priemonės. / In this study, changes during the period 1994–2010 in White Stork abundance and spatial distribution, as well as in nest-site selection were determined; regularities in breeding habitat selection and the effect of some habitat characteristics on the breeding success were investigated. The White Stork habitat selection study was carried out in the north-western periphery of the species’ range on a sample, comprising 8.4% of the total breeding population of this species, concentrated in an area covering just 1.1% of its range. It was revealed that a considerable increase in the White Stork abundance in 1994–2010 coincided with the adaptation by birds to breeding at a new nest-site – on poles of overhead electricity lines. However, from the standpoint of reproduction, this change in the White Stork nesting behaviour was partly non-adaptive due to significantly lower breeding success in nests built on poles of operating overhead electricity lines. Data on the White Stork first spring arrival, collected during the period 1961–2000, revealed a significant advancement of spring arrival date to the breeding grounds in the north-western periphery of the range. Factors, affecting the first spring arrival to breeding grounds, were determined. The main threats facing the breeding White Storks were determined, their importance was assessed, and recommendations for the mitigation of these negative impacts were prepared for this species of the EU conservation concern.
145

Abundance and spatial distribution, breeding habitat selection, breeding success and spring arrival of the white stork Ciconia ciconia in the north-western periphery of the range / Baltojo gandro Ciconia ciconia gausumas ir erdvinis pasiskirstymas, perėjimo buveinių pasirinkimas, perėjimo sėkmingumas ir pavasarinis atskridimas arealo šiaurės vakarų periferijoje

Vaitkuvienė, Daiva 30 December 2014 (has links)
In this study, changes during the period 1994–2010 in White Stork abundance and spatial distribution, as well as in nest-site selection were determined; regularities in breeding habitat selection and the effect of some habitat characteristics on the breeding success were investigated. The White Stork habitat selection study was carried out in the north-western periphery of the species’ range on a sample, comprising 8.4% of the total breeding population of this species, concentrated in an area covering just 1.1% of its range. It was revealed that a considerable increase in the White Stork abundance in 1994–2010 coincided with the adaptation by birds to breeding at a new nest-site – on poles of overhead electricity lines. However, from the standpoint of reproduction, this change in the White Stork nesting behaviour was partly non-adaptive due to significantly lower breeding success in nests built on poles of operating overhead electricity lines. Data on the White Stork first spring arrival, collected during the period 1961–2000, revealed a significant advancement of spring arrival date to the breeding grounds in the north-western periphery of the range. Factors, affecting the first spring arrival to breeding grounds, were determined. The main threats facing the breeding White Storks were determined, their importance was assessed, and recommendations for the mitigation of these negative impacts were prepared for this species of the EU conservation concern. / Darbo metu buvo nustatyti baltojo gandro gausumo ir erdvinio pasiskirstymo bei lizdaviečių pasirinkimo pokyčiai 1994–2010 metais, ištirti perėjimo buveinės pasirinkimo dėsningumai bei perėjimo sėkmingumo priklausomybė nuo kai kurių buveinės charakteristikų. Baltojo gandro perėjimo buveinės pasirinkimo tyrimai atlikti su 8,4 % pasaulinės perinčios baltojo gandro populiacijos, esančios arealo šiaurės vakarų periferijoje, susitelkusios teritorijoje, užimančioje 1,1 % arealo ploto. Buvo nustatyta, kad tyrimų teritorijoje per 1994–2010 metų laikotarpį ženkliai išaugus baltojo gandro gausumui, paukščiai prisitaikė perėti naujo tipo lizdavietėse – ant elektros oro linijų atramų. Šis prisitaikymas reprodukciniu požiūriu buvo iš dalies neadaptyvus dėl patikimai mažesnio perėjimo sėkmingumo lizduose, susuktuose ant eksploatuojamų elektros oro linijų atramų. Remiantis ilgalaikiais baltojo gandro pirmo atskridimo datos duomenimis, rinktais 1961–2000 metais, buvo nustatytas reikšmingas pavasarinio atskridimo datos į perimvietes arealo šiaurės vakarų periferijoje paankstėjimas. Taip pat buvo nustatyti veiksniai, lemiantys pirmo pavasarinio atskridimo į perimvietes datą. Darbe buvo nustatyti pagrindiniai, perinčiam baltajam gandrui grėsmę keliantys veiksniai, įvertintas jų reikšmingumas ir pasiūlytos neigiamo jų poveikio šiai Europos Sąjungoje saugomai rūšiai sumažinimo priemonės.
146

Traitement d’antenne tensoriel / Tensor array processing

Raimondi, Francesca 22 September 2017 (has links)
L’estimation et la localisation de sources sont des problèmes centraux en traitement d’antenne, en particulier en télécommunication, sismologie, acoustique, ingénierie médicale ou astronomie. Une antenne de capteurs est un système d’acquisition composé par de multiples capteurs qui reçoivent des ondes en provenance de sources de directions différentes: elle échantillonne les champs incidents en espace et en temps.Pour cette raison, des techniques haute résolution comme MUSIC utilisent ces deux éléments de diversité, l’espace et le temps, afin d’estimer l’espace signal engendré par les sources incidentes, ainsi que leur direction d’arrivée. Ceci est généralement atteint par une estimation préalable de statistiques de deuxième ordre ou d’ordre supérieur, comme la covariance spatiale de l’antenne, qui nécessitent donc de temps d’observation suffisamment longs.Seulement récemment, l’analyse tensorielle a été appliquée au traitement d’antenne, grâce à l’introduction, comme troisième modalité (ou diversité), de la translation en espace d’une sous-antenne de référence, sans faire appel à l’estimation préalable de quantités statistiques.Les décompositions tensorielles consistent en l’analyse de cubes de données multidimensionnelles, au travers de leur décomposition en somme d’éléments constitutifs plus simples, grâce à la multilinéarité et à la structure de rang faible du modèle sous-jacent.Ainsi, les mêmes techniques tensorielles nous fournissent une estimée des signaux eux-mêmes, ainsi que de leur direction d’arrivée, de façon déterministe. Ceci peut se faire en vertu du modèle séparable et de rang faible vérifié par des sources en bande étroite et en champs lointain.Cette thèse étudie l’estimation et la localisation de sources par des méthodes tensorielles de traitement d’antenne.Le premier chapitre présente le modèle physique de source en bande étroite et en champs lointain, ainsi que les définitions et hypothèses fondamentales. Le deuxième chapitre passe en revue l’état de l’art sur l’estimation des directions d’arrivée, en mettant l’accent sur les méthodes haute résolution à sous-espace. Le troisième chapitre introduit la notation tensorielle, à savoir la définition des tableaux de coordonnées multidimensionnels, les opérations et décompositions principales. Le quatrième chapitre présente le sujet du traitement tensoriel d’antenne au moyen de l’invariance par translation.Le cinquième chapitre introduit un modèle tensoriel général pour traiter de multiples diversités à la fois, comme l’espace, le temps, la translation en espace, les profils de gain spatial et la polarisation des ondes élastiques en bande étroite.Par la suite, les sixième et huitième chapitres établissent un modèle tensoriel pour un traitement d’antenne bande large cohérent. Nous proposons une opération de focalisation cohérente et séparable par une transformée bilinéaire et par un ré-échantillonnage spatial, respectivement, afin d’assurer la multilinéarité des données interpolées.Nous montrons par des simulations numériques que l’estimation proposée des paramètres des signaux s’améliore considérablement, par rapport au traitement tensoriel classique en bande étroite, ainsi qu’à MUSIC cohérent bande large.Egalement, tout au long de la thèse, nous comparons les performances de l’estimation tensorielle avec la borne de Cramér-Rao du modèle multilinéaire associé, que nous développons, dans sa forme la plus générale, dans le septième chapitre. En outre, dans le neuvième chapitre nous illustrons une application à des données sismiques réelles issues d’une campagne de mesure sur un glacier alpin, grâce à la diversité de vitesse de propagation.Enfin, le dixième et dernier chapitre de cette thèse traite le sujet parallèle de la factorisation spectrale multidimensionnelle d’ondes sismiques, et présente une application à l’estimation de la réponse impulsionnelle du soleil pour l’héliosismologie. / Source estimation and localization are a central problem in array signal processing, and in particular in telecommunications, seismology, acoustics, biomedical engineering, and astronomy. Sensor arrays, i.e. acquisition systems composed of multiple sensors that receive source signals from different directions, sample the impinging wavefields in space and time. Hence, high resolution techniques such as MUSIC make use of these two elements of diversities: space and time, in order to estimate the signal subspace generated by impinging sources, as well as their directions of arrival. This is generally done through the estimation of second or higher orders statistics, such as the array spatial covariance matrix, thus requiring sufficiently large data samples. Only recently, tensor analysis has been applied to array processing using as a third mode (or diversity), the space shift translation of a reference subarray, with no need for the estimation of statistical quantities. Tensor decompositions consist in the analysis of multidimensional data cubes of at least three dimensions through their decomposition into a sum of simpler constituents, thanks to the multilinearity and low rank structure of the underlying model. Thus, tensor methods provide us with an estimate of source signatures, together with directions of arrival, in a deterministic way. This can be achieved by virtue of the separable and low rank model followed by narrowband sources in the far field. This thesis deals with source estimation and localization of multiple sources via these tensor methods for array processing. Chapter 1 presents the physical model of narrowband elastic sources in the far field, as well as the main definitions and assumptions. Chapter 2 reviews the state of the art on direction of arrival estimation, with a particular emphasis on high resolution signal subspace methods. Chapter 3 introduces the tensor formalism, namely the definition of multi-way arrays of coordinates, the main operations and multilinear decompositions. Chapter 4 presents the subject of tensor array processing via rotational invariance. Chapter 5 introduces a general tensor model to deal with multiple physical diversities, such as space, time, space shift, polarization, and gain patterns of narrowband elastic waves. Subsequently, Chapter 6 and Chapter 8 establish a tensor model for wideband coherent array processing. We propose a separable coherent focusing operation through bilinear transform and through a spatial resampling, respectively, in order to ensure the multilinearity of the interpolated data. We show via computer simulations that the proposed estimation of signal parameters considerably improves, compared to existing narrowband tensor processing and wideband MUSIC. Throughout the chapters we also compare the performance of tensor estimation to the Cramér-Rao bounds of the multilinear model, which we derive in its general formulation in Chapter 7. Moreover, in Chapter 9 we propose a tensor model via the diversity of propagation speed for seismic waves and illustrate an application to real seismic data from an Alpine glacier. Finally, the last part of this thesis in Chapter 10 moves to the parallel subject of multidimensional spectral factorization of seismic ways, and illustrates an application to the estimation of the impulse response of the Sun for helioseismology.
147

Direction of arrival estimation technique for narrow-band signals based on spatial Discrete Fourier Transform

Zaeim, Ramin 24 August 2018 (has links)
This work deals with the further development of a method for Direction of Arrival (DOA) estimation based on the Discrete Fourier Transform (DFT) of the sensor array output. In the existing DFT-based algorithm, relatively high SNR is considered, and it is assumed that a large number of sensors are available. In this study an overview of some of the most commonly used DOA estimation techniques will be presented. Then the performance of the DFT method will be analyzed and compared with the performance of existing techniques. Two main objectives will be studied, firstly the reduction of the number of sensors and secondly the performance of the DFT based technique in the presence of noise. Experimental simulations will be presented to illustrate that in absence of noise, the proposed method is very fast and using just one snapshot is sufficient to accurately estimate DOAs. Also, in presence of noise, the method is still relatively fast and using a small number of snapshots, it can accurately estimate DOAs. The above mentioned properties are the result of taking an average of the peaks of the DFTs, X_n (k), obtained from a sequence of N_s snapshots. With N_s sufficiently large, the average over N_s snapshots approaches expected value. Also, the conditions that should be satisfied to avoid overlapping of main-lobes, and thus loosing the DOA of some signals, in the DFT spectrum are examined. This study further analyzes the performance of the proposed method as well as two other commonly used algorithms, MUSIC and conventional beamformer. An extensive simulation was conducted and different features of the spatial DFT technique, such as accuracy, resolution, sensitivity to noise, effect of multiple snapshots and the number of sensors were evaluated and compared with those of existing techniques. The simulations indicate that in most aspects the proposed spatial DFT algorithm outperforms the other techniques. / Graduate
148

Sistema inteligente para determina??o das dire??es de chegada de m?ltiplos sinais em arranjos de antenas

Dourado J?nior, Osmar de Ara?jo 22 December 2004 (has links)
Made available in DSpace on 2014-12-17T14:56:03Z (GMT). No. of bitstreams: 1 OsmarADJ.pdf: 1159660 bytes, checksum: 65307a903dfe1a1f71297194d1c7e2a5 (MD5) Previous issue date: 2004-12-22 / Conselho Nacional de Desenvolvimento Cient?fico e Tecnol?gico / This dissertation presents a new proposal for the Direction of Arrival (DOA) detection problem for more than one signal inciding simultaneously on an antennas array with linear or planar geometry by using intelligent algorithms. The DOA estimator is developed by using techniques of Conventional Beam-forming (CBF), Blind Source Separation (BSS), and the neural estimator MRBF (Modular Structure of Radial Basis Functions). The developed MRBF estimator has its capacity extended due to the interaction with the BSS technique. The BSS makes an estimation of the steering vectors of the multiple plane waves that reach the array in the same frequency, that means, obtains to separate mixed signals without information a priori. The technique developed in this work makes possible to identify the multiple sources directions and to identify and to exclude interference sources / Esta disserta??o apresenta uma nova proposta para os problemas de detec??o de dire??o de chegada para mais de um sinal incidindo simultaneamente sobre um arranjo de antenas de geometria planar ou linear empregando algoritmos inteligentes. O estimador de DOA ? desenvolvido utilizando as t?cnicas de Conforma??o de Feixes Digital Convencional (CBF - Conventional Beamforming), de Separa??o Cega de Fontes (BSS {Blind Source Separation) e o estimador neural MRBF (Modular Structure of Radial Basis Functions). O estimador MRBF desenvolvido tem sua capacidade ampliada gra?as ?a intera??o com a t?cnica BSS, a qual faz uma estima??o dos vetores de guiamento das m?ltiplas ondas planas que alcan?am o arranjo na mesma freq??ncia, isto ?, consegue separar sinais misturados sem informa??es a priori. A t?cnica desenvolvida neste trabalho possibilita identificar a dire??o de m?ltiplas fontes e identificar e excluir as fontes de interfer?ncia
149

Filtragem otima na estimação de direção de chegada de ondas planas usando arranjo de sensores / Optimum filtering on direction of arrival estimation of plane waves using array of sensors

Krummenauer, Rafael 16 July 2007 (has links)
Orientador: Amauri Lopes / Dissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Eletrica e de Computação / Made available in DSpace on 2018-08-09T06:28:20Z (GMT). No. of bitstreams: 1 Krummenauer_Rafael_M.pdf: 1711180 bytes, checksum: e9aa73aac9d705c24c2bec02b202f76e (MD5) Previous issue date: 2007 / Resumo: Esta dissertação trata do problema de estimação de direção de chegada (DOA) de ondas planas usando um arranjo linear uniforme de sensores. Estamos interessados em situações nas quais a relação sinal-ruido 'e baixa e o espaçamento angular entre as fontes de sinal 'e pequeno. Baseamos nossa proposta nos m'etodos MODE, MODEX e MODEX Modificado, que sao metodos eficientes existentes na literatura. Inspirados em conceitos de filtragem linear e no criterio da maxima verossimilhança, propomos um procedimento que ameniza o efeito do ruido no resultado da estimação. Este procedimento consiste em filtrar os dados recebidos e modificar adequadamente a função de verossimilhan¸ca utilizada no processo de obtenção das estimativas. Simulações numericas mostram que o desempenho do metodo proposto 'e melhor que aqueles correspondentes aos m'etodos MODE, MODEX e MODEX Modificado, alcançando menores valores de erro quadratico medio e de polarização / Abstract: This work deals with the problem of estimating the direction of arrival (DOA) of plane waves using a uniform linear array of sensors. We are concerned with situations where the signal-to-noise ratio is low and the signal sources are spatially close. Our proposal is based on MODE, MODEX and Modified MODEX, that are efficient methods proposed in the literature. Inspired in concepts of linear filtering and in the maximum likelihood criterion, we propose a procedure that reduces the effect of noise in the estimation result. This procedure consists on filtering the received data and on modifying the likelihood function used to obtain the estimates. Numerical simulations show that the performance of the proposed method is better than those of MODE, MODEX and Modified MODEX methods, achieving lower mean square error and lower bias / Mestrado / Telecomunicações e Telemática / Mestre em Engenharia Elétrica
150

Uso de filtragem em metodos de estimação de DOA atraves de arranjo de sensores / Filtering on DOA estimation using array of sensors

Silva, Francislei Jose da 13 July 2007 (has links)
Orientador: Amauri Lopes / Dissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Eletrica e de Computação / Made available in DSpace on 2018-08-09T08:58:42Z (GMT). No. of bitstreams: 1 Silva_FrancisleiJoseda_M.pdf: 1914501 bytes, checksum: f819de68e8cb02f4b9bc4a46d9787202 (MD5) Previous issue date: 2007 / Resumo: Este trabalho aborda o problema de estimação da direção de chegada (DOA) de ondas planas usando arranjo de sensores. Existem diversos estimadores para DOA relatados na literatura. Dentre os estimadores de alta resolução, se destacam os métodos MODE e MODEX, que possuem como base o estimador de máxima verossimilhança (MLE). Este trabalho apresenta o desenvolvimento dos métodos MODE, MODEX e de uma versão melhorada do MODEX, o método MODEX Modi?ed. Estes dois últimos estimadores produzem várias estimativas candidatas e usam o critério de máxima verossimilhança para selecionar aquelas que representam as melhores estimativas para os ângulos de chegada. Entretanto, para uma relação sinalruído baixa, estes métodos sofrem uma forte degradação na escolha das candidatas. Na busca de reduzir esta degradação, é apresentada uma proposta de ?ltragem nos sinais captados pelos sensores, com o objetivo de melhorar a relação sinalruído. São propostos dois projetos de ?ltro FIR: um por alocação de pólos e zeros, e outro por amostragem em freqüência. Os resultados obtidos mostram que esta proposta de ?ltragem é válida e que se consegue reduzir signi?cativamente a SNR do limiar de desempenho apresentado pelos métodos MODEX e MODEX Modi?ed. / Abstract: This work deals with the estimation of the direction of arrival (DOA) of plane waves using array of sensors. There are various estimators for DOA reported in literature. The MODE and MODEX methods, based on the maximum likelihood criterion, are the best high resolution DOA estimators. This work presents the development of these methods as well as of an improved version of the MODEX, named MODEX Modi?ed. MODEX and MODEX Modi?ed produce some estimates that are candidates for the DOA estimation and use the maximum likelihood criterion to select the best ones. However, for low signaltonoise ratio, the selection process suffers a strong performance degradation. In order to reduce this degradation, this work proposes to ?lter the received signals aiming to improve the signaltonoise ratio. Two FIR ?lters are considered: one composed by poles and zeros and another obtained by sampling in the frequency domain. Simulation results show that this proposal improves signi?cantly the performance of both MODEX and MODEX Modi?ed. / Mestrado / Telecomunicações e Telemática / Mestre em Engenharia Elétrica

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