In wireless communication systems, relays are widely used to extend coverage. Over the past years, relays have evolved from simple repeaters to more sophisticated units that perform signal processing to improve signal to interference plus noise ratio (SINR) or throughput (or both) at the destination receiver. There are various types of relays such as amplify and forward (AF), decode and forward (DF), and compress and forward (CF) (or estimate and forward (EF)) relays. In addition, recently there has been a growing interest in two-way relays (TWR). By utilizing the concept of analog network coding (ANC), TWRs can improve the throughput of a wireless sys- tem by reducing the number of time slots needed to complete a bi-directional message exchange between two destination nodes. It’s well known that the performance of a TWR system greatly depends on its ability to apply signal processing techniques to effectively mitigate the self-interference and noise accumulation, thereby improving the SINR. We study a TWR system that is equipped with multiple antennas at the relay node and a single antenna at the two destination nodes. Different from traditional work on TWR, we focus on the case with imperfect knowledge of channel state information (CSI). For such a TWR, we formulate a robust optimization problem that takes into ac- count norm-bounded estimation errors in CSI and designs an optimal beamforming matrix. Realizing the fact that this problem is extremely hard to solve globally, we derive two different methods to obtain either optimal or efficient suboptimal beam- forming matrix solutions. The first method involves solving the robust optimization problem using the S-procedure and semidefinite programming (SDP) with rank-one relaxation. This method provides an optimal solution when the rank-one relaxation condition for the SDP is satisfied. In cases where the rank-one condition cannot be satisfied, it’s necessary to resort to sub-optimal techniques. The second approach presented here reformulates the robust non-convex quadratically constrained quadratic programming (QCQP) into a robust linear programming (LP) problem by using first-order perturbation of the optimal non-robust beamforming solution (which assumes no channel estimation error). Finally, we view the TWR robust beamforming problem from a practical standpoint and develop a set of iterative algorithms based on Newton’s method or the steepest descent method that are practical for hardware implementation.

En géophysique, les réseaux denses améliorent la caractérisation spatiale et fréquentielle des différents types d’ondes dans le milieu. Bien entendu, l’acquisition en surface est sujette aux ondes de surface qui sont très fortes. Les ondes de surface ont un fort impact sur les données géophysiques acquises au niveau du sol. Elles peuvent être considérées comme du bruit et être sujettes à la suppression puisqu’elles cachent l’information de sous-surface. Cependant, elles peuvent être utiles pour l’imagerie de proche surface si elles sont convenablement récupérées.Dans tous les cas, leur caractérisation est cruciale en géophysique d’exploration active et passive. Dans la surveillance microsismique passive, le bruit de surface ambiant est composé d’ondes de surface. L’objectif principal de la surveillance passive est de minimiser l’impact des ondes de surface sur les données microsismiques. Le fort bruit de surface diminue la sensibilité etl’efficacité des méthodes de détection et de localisation. De plus, les méthodes actuelles de localisation et de détection nécessitent généralement la connaissance d’informations telles qu’un un modèle de vitesse ou un modèle d’événement. Dans la sismique active, de fortes ondes de surface sont générés par des sources actives. Les stratégies actuelles de traitement sont généralement basées sur une sélection manuelle des ondes de surface afin de choisir lesquelles garder. Il s’agit là d’une tâche complexe, coûteuse et sujette à interprétation. Cependant, cette tâche est nécessaire pour l’imagerie de proche-surface et de sous-surface. Les ondes de surface peuvent être particulièrement difficiles à récupérer dans des acquisitions clairsemées.Nous proposons d’appliquer les techniques d’interférométrie et de formation de voies (telles que le Matched Field Processing) dans le contexte des réseaux denses. Une densité de traces importante ouvre de nouvelles possibilités dans les traitements géophysiques, qu’ils soient actifs ou passifs. Nous montrons que le bruit ambiant peut être utilisé dans le traitement microsismique pour extraire des informations importantes sur les propriétés du milieu. De plus, nous développons une approche de débruitage qui permet de supprimer les sources de bruit à la surface et détecter les événements microsismiques. Nous proposons également une méthode automatique de détection et de localisation qui se base sur une quantité minimale d’information préalable qui permet de récupérer la distribution des hétérogénéités du réservoir, dans le voisinage du puits. En ce qui concerne la sismique active, nous proposons une approche interférométrique et automatique de caractérisation des ondes de surface. Nous récupérons les noyaux de sensibilité de phase des ondes de surface entre deux points quelconques de l’acquisition. Ces noyaux de sensibilité sont par conséquent utilisés pour obtenir les courbes de dispersion multimodales. Ces courbes de dispersion permettent la séparation des différents modes des ondes de surface, et fournissent l’information de proche surface suite à une simple inversion.Le réseau dense permet l’amélioration des méthodes présentées ci-dessus: elle permet des applications alternatives et innovantes dans le traitement du signal géophysique. / In geophysics, spatially dense arrays enhance the spatial and frequential characterization of the various waves propagating in the medium. Of course, surface array is subject to strong surface waves. Surface waves highly impact the processing of geophysical data acquired at ground level. They can be considered as noise and subject to suppression as they mask sub-surface information.However, they can be useful for near-surface imaging if they are well retrieved. In any case, their characterization is crucial in active and passive exploration geophysics. In passive microseismic monitoring, ambient surface noise consists of surface waves. The main goal of passive monitoring is to minimize the impact of surface waves on the actual microseismic data. The strong ambient surface noise lowers the sensitivity and the efficiency ofdetection and location methods. Moreover, current location and detection methods usually require strong a priori information (e.g., a velocity model or a template).Active sources generate strong surface waves. In active seismic, current processing strategies often consist in manually picking surface wave arrivals in order to use or remove them. This is often a complex, time consuming, and an ambiguous task. However, it is needed for near- and sub-surface imaging. Surface waves can be particularly difficult to retrieve in sparse arrays. We propose to apply the techniques of interferometry and beamforming (Matched Field Processing in particular) in the context of dense arrays. High trace density opens new possibilities in geophysical processing in both passive and active surveys. We show that the ambient noise can be explored in the case of microseismic monitoring to extract important information about the medium properties. Moreover, we develop a denoising approach to remove the noise sources at the surface and detect the microseismic event. Furthermore, we propose an automatic detection and location method with a minimum a priori information to retrieve the distribution of heterogeneities in the reservoir, in the well vicinity.In active survey, we propose an interferometric, automatic approach to characterize the surface waves. We retrieve phase-sensitivity kernels of surface waves between any two points of the acquisition. These kernels are consequently used to obtain multi-mode dispersion curves. These dispersion curves make it possible to separate different modes of surface waves and provide near-surface information if inverted.The above presented methodologies benefit from spatially dense arrays.Dense arrays of sources or receivers enable alternative, innovative applications in geophysical processing.

abstract: This dissertation considers two different kinds of two-hop multiple-input multiple-output (MIMO) relay networks with beamforming (BF). First, "one-way" amplify-and-forward (AF) and decode-and-forward (DF) MIMO BF relay networks are considered, in which the relay amplifies or decodes the received signal from the source and forwards it to the destination, respectively, where all nodes beamform with multiple antennas to obtain gains in performance with reduced power consumption. A direct link from source to destination is included in performance analysis. Novel systematic upper-bounds and lower-bounds to average bit or symbol error rates (BERs or SERs) are proposed. Second, "two-way" AF MIMO BF relay networks are investigated, in which two sources exchange their data through a relay, to improve the spectral efficiency compared with one-way relay networks. Novel unified performance analysis is carried out for five different relaying schemes using two, three, and four time slots in sum-BER, the sum of two BERs at both sources, in two-way relay networks with and without direct links. For both kinds of relay networks, when any node is beamforming simultaneously to two nodes (i.e. from source to relay and destination in one-way relay networks, and from relay to both sources in two-way relay networks), the selection of the BF coefficients at a beamforming node becomes a challenging problem since it has to balance the needs of both receiving nodes. Although this "BF optimization" is performed for BER, SER, and sum-BER in this dissertation, the solution for optimal BF coefficients not only is difficult to implement, it also does not lend itself to performance analysis because the optimal BF coefficients cannot be expressed in closed-form. Therefore, the performance of optimal schemes through bounds, as well as suboptimal ones such as strong-path BF, which beamforms to the stronger path of two links based on their received signal-to-noise ratios (SNRs), is provided for BERs or SERs, for the first time. Since different channel state information (CSI) assumptions at the source, relay, and destination provide different error performance, various CSI assumptions are also considered. / Dissertation/Thesis / Ph.D. Electrical Engineering 2012

O presente trabalho refere-se a um estudo aeroacústico experimental visando caracterizar o ruído de eslate sob a presença de excrescências instaladas no interior de sua cova, e em ângulos de ataque extremos (entre -4 e 18 [º]). O eslate é um dispositivo hipersustentador posicionado no bordo de ataque do perfil aerodinâmico que objetiva a operação da aeronave em voo com uma menor velocidade. Desta maneira, é proporcionado um maior ângulo de estol e consequente maior sustentação, permitindo que os procedimentos de pouso e decolagem sejam mais seguros e que uma pista menor para ambas as operações possa ser utilizada, por exemplo. Este estudo contempla um modelo de perfil MDA 30P30N, com as excrescências no formato de selos de seção transversal bidimensional, circular e quadrada, presentes em diferentes posições na cova do eslate e ao longo de toda a sua envergadura. Foram compreendidos diferentes ângulos de ataque do modelo e velocidades de escoamento livre. O trabalho experimental utilizou-se de um túnel de vento de seção de testes e circuito fechados da USP-EESC, o modelo MDA 30P30N pré-existente na universidade e equipamentos de medições acústicas (microfones, sistemas de aquisição de dados e etc.), e de pressão (escâneres, manômetros, etc.). O pós-processamento dos dados aeroacústicos adquiridos nos ensaios realizados é uma etapa que objetiva a caracterização do ruído a partir de espectros de frequência e mapas acústicos, para localização e determinação da intensidade das fontes sonoras. Este processo é efetivado com códigos de beamforming implementados pelo grupo de pesquisa contendo o método de deconvolução DAMAS. A técnica de beamforming é um método para localização e estimativa da amplitude de fontes de ruído utilizando medidas realizadas a partir de uma antena de microfones, baseando-se em um modelo matemático que descreve a propagação de ondas acústicas em um meio com propriedades físicas bem definidas. Estes modelos são simplificados em relação à complexidade dos fenômenos de geração e propagação do som. O cálculo basicamente resolve a contribuição relativa das fontes provindas de diferentes direções no campo sonoro de interesse. O método DAMAS almeja compensar a influência das características da antena de microfones empregada para aquisição dos dados do resultado proveniente do cálculo efetuado com a técnica de beamforming convencional, resolvendo um problema de deconvolução. Os espectros de ruído obtidos neste trabalho apresentam o ruído de eslate bem definido em três componentes principais, que são os múltiplos picos tonais de baixa frequência, banda larga e pico tonal de alta frequência. Para a configuração de referência, sem a presença de selos na cova do eslate, verifica-se que ângulos de ataque extremos, muito baixos ou muito altos, apresentam o espectro de frequências quase que inteiramente como de banda larga e de intensidade muito próxima ao ruído de fundo do túnel. Também há um ângulo de ataque em que a emissão sonora é máxima. Quando há a presença de um selo na cova do eslate, existe um grande impacto em seu espectro acústico. Dependo da posição em que o selo se encontra, este pode atenuar ou intensificar os múltiplos picos tonais de baixa frequência, trocar o pico dominante, suprimir a componente de múltiplos picos, modificar o comportamento da componente da banda larga e ainda amplificar ou reduzir o ruído global do eslate. / The present work refers to an experimental aeroacoustic study aiming to characterize slat noise over the presence of excrescences installed at the interior of its cove, and at very high and very low angles of attack (between -4 e 18 [º]). A slat is a high-lift device located at the leading edge of an airfoil which target to maintain the aircraft in flight at a lower speed by providing a greater stall angle and consequently greater lift coefficient, allowing safer landing and take-off procedures. Therefore, a smaller airport runaway for both operations may be used. This study includes a model of a MDA 30P30N airfoil, with a seal excrescence of two-dimensional cross-section shape, circular or square, positioned at different locations at slat cove throughout the extent of its span. Different models angles of attack and some free-stream velocities were tested. The experimental work employed a closed-section wind tunnel situated at USP-EESC, a preexisting MDA 30P30N model, and acoustic measurement equipments (microphones, data acquisition systems, etc.), and pressure measurement equipments (scanners, pressure gauges, etc.). The data post-processing of aeroacoustics experiments intend to characterize the slat noise due to frequency spectrums and acoustic maps to locate and evaluate the intensity of the noise sources. This process is made with beamforming in-house codes, implemented by the research group, containing a deconvolution method named DAMAS. Beamforming technique is a method to localize and assess noise sources amplitude using measurements from an antenna of microphones, based on a mathematical model that describes the propagation of acoustic waves in a medium with well defined physical properties. Such models are simplified compared to the complexity of the phenomena of generation and propagation of sound. The calculation basically resolves the relative contribution of sources emanating from different directions at the sound field of interest. DAMAS method aim to extract the characteristics of the microphones antenna employed to acquire data, from the result of the calculation performed with conventional beamforming algorithm, solving a deconvolution problem. The noise spectrum obtained at this work shows that the slat noise can be well defined in three main components, which are the multiple tonal peaks of low frequency, broadband and high-frequency tonal peak. For the baseline configuration, without seals at slat cove, it is possible to notice that for extreme angles of attack, very low or very high, the noise spectrum is almost entire of broadband type. Its noise intensity is very near to the background wind tunnel noise. There is an angle of attack which has a maximum sound emission. A seal at MDA 30P30N slat cove has a huge impact on slat noise spectrum. Depending on the seal position, it can mitigate or enhance the multiple low-frequency tonal peaks, change the dominant peak, suppress multiple tonal peaks, modify the behavior of the broadband component and reduce or amplify the overall slat noise.

O presente trabalho refere-se a um estudo aeroacústico experimental visando caracterizar o ruído de eslate sob a presença de excrescências instaladas no interior de sua cova, e em ângulos de ataque extremos (entre -4 e 18 [º]). O eslate é um dispositivo hipersustentador posicionado no bordo de ataque do perfil aerodinâmico que objetiva a operação da aeronave em voo com uma menor velocidade. Desta maneira, é proporcionado um maior ângulo de estol e consequente maior sustentação, permitindo que os procedimentos de pouso e decolagem sejam mais seguros e que uma pista menor para ambas as operações possa ser utilizada, por exemplo. Este estudo contempla um modelo de perfil MDA 30P30N, com as excrescências no formato de selos de seção transversal bidimensional, circular e quadrada, presentes em diferentes posições na cova do eslate e ao longo de toda a sua envergadura. Foram compreendidos diferentes ângulos de ataque do modelo e velocidades de escoamento livre. O trabalho experimental utilizou-se de um túnel de vento de seção de testes e circuito fechados da USP-EESC, o modelo MDA 30P30N pré-existente na universidade e equipamentos de medições acústicas (microfones, sistemas de aquisição de dados e etc.), e de pressão (escâneres, manômetros, etc.). O pós-processamento dos dados aeroacústicos adquiridos nos ensaios realizados é uma etapa que objetiva a caracterização do ruído a partir de espectros de frequência e mapas acústicos, para localização e determinação da intensidade das fontes sonoras. Este processo é efetivado com códigos de beamforming implementados pelo grupo de pesquisa contendo o método de deconvolução DAMAS. A técnica de beamforming é um método para localização e estimativa da amplitude de fontes de ruído utilizando medidas realizadas a partir de uma antena de microfones, baseando-se em um modelo matemático que descreve a propagação de ondas acústicas em um meio com propriedades físicas bem definidas. Estes modelos são simplificados em relação à complexidade dos fenômenos de geração e propagação do som. O cálculo basicamente resolve a contribuição relativa das fontes provindas de diferentes direções no campo sonoro de interesse. O método DAMAS almeja compensar a influência das características da antena de microfones empregada para aquisição dos dados do resultado proveniente do cálculo efetuado com a técnica de beamforming convencional, resolvendo um problema de deconvolução. Os espectros de ruído obtidos neste trabalho apresentam o ruído de eslate bem definido em três componentes principais, que são os múltiplos picos tonais de baixa frequência, banda larga e pico tonal de alta frequência. Para a configuração de referência, sem a presença de selos na cova do eslate, verifica-se que ângulos de ataque extremos, muito baixos ou muito altos, apresentam o espectro de frequências quase que inteiramente como de banda larga e de intensidade muito próxima ao ruído de fundo do túnel. Também há um ângulo de ataque em que a emissão sonora é máxima. Quando há a presença de um selo na cova do eslate, existe um grande impacto em seu espectro acústico. Dependo da posição em que o selo se encontra, este pode atenuar ou intensificar os múltiplos picos tonais de baixa frequência, trocar o pico dominante, suprimir a componente de múltiplos picos, modificar o comportamento da componente da banda larga e ainda amplificar ou reduzir o ruído global do eslate. / The present work refers to an experimental aeroacoustic study aiming to characterize slat noise over the presence of excrescences installed at the interior of its cove, and at very high and very low angles of attack (between -4 e 18 [º]). A slat is a high-lift device located at the leading edge of an airfoil which target to maintain the aircraft in flight at a lower speed by providing a greater stall angle and consequently greater lift coefficient, allowing safer landing and take-off procedures. Therefore, a smaller airport runaway for both operations may be used. This study includes a model of a MDA 30P30N airfoil, with a seal excrescence of two-dimensional cross-section shape, circular or square, positioned at different locations at slat cove throughout the extent of its span. Different models angles of attack and some free-stream velocities were tested. The experimental work employed a closed-section wind tunnel situated at USP-EESC, a preexisting MDA 30P30N model, and acoustic measurement equipments (microphones, data acquisition systems, etc.), and pressure measurement equipments (scanners, pressure gauges, etc.). The data post-processing of aeroacoustics experiments intend to characterize the slat noise due to frequency spectrums and acoustic maps to locate and evaluate the intensity of the noise sources. This process is made with beamforming in-house codes, implemented by the research group, containing a deconvolution method named DAMAS. Beamforming technique is a method to localize and assess noise sources amplitude using measurements from an antenna of microphones, based on a mathematical model that describes the propagation of acoustic waves in a medium with well defined physical properties. Such models are simplified compared to the complexity of the phenomena of generation and propagation of sound. The calculation basically resolves the relative contribution of sources emanating from different directions at the sound field of interest. DAMAS method aim to extract the characteristics of the microphones antenna employed to acquire data, from the result of the calculation performed with conventional beamforming algorithm, solving a deconvolution problem. The noise spectrum obtained at this work shows that the slat noise can be well defined in three main components, which are the multiple tonal peaks of low frequency, broadband and high-frequency tonal peak. For the baseline configuration, without seals at slat cove, it is possible to notice that for extreme angles of attack, very low or very high, the noise spectrum is almost entire of broadband type. Its noise intensity is very near to the background wind tunnel noise. There is an angle of attack which has a maximum sound emission. A seal at MDA 30P30N slat cove has a huge impact on slat noise spectrum. Depending on the seal position, it can mitigate or enhance the multiple low-frequency tonal peaks, change the dominant peak, suppress multiple tonal peaks, modify the behavior of the broadband component and reduce or amplify the overall slat noise.

Terrestrial mobile peer-to-peer millimeter wave networks will likely use beamforming arrays with narrow beams. Aligning narrow beams is difficult. One consideration for aligning narrow beams is co-channel interference. Beams can be aligned either on a per-link basis where co-channel interference is ignored, or on a global basis where co-channel interference is considered. One way to align beams on a global basis is coordinated beamforming. Coordinated beamforming can be defined as alignment of beams on a global basis, so as to jointly optimize the signal-to-interference-plus-noise ratio (SINR) of all links operating in a network. In this work, we explore coordinated beamforming in peer-to-peer networks and demonstrate its efficacy. Networks with varying numbers of links are simulated in scenarios with and without obstructions. The coordinated beamforming schemes presented in this work significantly improve link SINR statistics in these scenarios. Greater improvement was found in networks with higher numbers of links and in networks in terrain with obstructions. / Master of Science / Wireless communication links can interfere with each other. Interference can be mitigated by adjusting the antennas with which the links are formed. One method of mitigating interference is coordinated beamforming. Coordinated beamforming can be defined as a method of adjusting antennas to jointly optimize the strength of the links operating in a network. In this work, we explore coordinated beamforming in terrestrial mobile peer-to-peer communication networks and demonstrate its efficacy. Networks with varying numbers of links are simulated in scenarios with and without obstructions. The coordinated beamforming schemes presented in this work significantly improve link strength statistics in these scenarios. Greater improvement was found in networks with higher numbers of links and in networks in terrain with obstructions.

Detection and localization of sound sources in an ocean environment can be achieved with a distributed array of passive acoustic sensors. Utilizing an array of autonomous littoral gliders, which offer long-term and quiet operation, and vector sensors, which measure both acoustic pressure and particle velocity, the array's localization performance can be improved. However, vector sensors are susceptible to errors induced by acoustic noise, and autonomous gliders as a sensor platform introduce positional errors. Through both simulations and at-sea data, the localization performance of four processing methods are evaluated under various noisy conditions. In both simulated and at-sea data results, a new cross-coherent method outperforms traditional methods by mitigating the effects of acoustic noise, provided sufficient positional accuracy of the array elements.

International Telemetering Conference Proceedings / October 18-21, 2004 / Town & Country Resort, San Diego, California / An Ad hoc network with unicasting is considered, in which each node has an M element antenna array. Transmission from node l(i) to i is quasi-synchronous, so that code acquisition is not required. Space-Time (S-T) waveforms are transmitted with temporal dimension Ns Nyquist samples. An adaptive, distributed S-T waveform design algorithm is developed, which maintains QoS while attempting to minimize transmit power. The resulting Iterative Minimum Mean-Square Error{Time Reversal algorithm (IMMSE-TR) sets the transmit S-T vector at node i to the conjugate time-reverse of the linear MMSE S-T detector. It is shown that IMMSE-TR corresponds to a noncooperative game which attempts to minimize transmit power while paying an interference tax. Simulation results are presented demonstrating high power efficiencies for heavily-loaded systems.

La reproduction réaliste d’environnements sonores est à ce jour un domaine actif de recherche. Ici, le cas traité est celui de la reproduction de l’environnement sonore d’une cabine d’avion en vol dans une maquette de celle-ci. Dans cette optique une connaissance la plus complète possible du milieu de reproduction ainsi que du champ de pression acoustique à reproduire est alors nécessaire. Pour ce faire la technique de résolution du problème inverse constitue un outil des plus adaptés. Le gros défaut de cette technique est sa sensibilité aux bruits de mesures inévitables dans des conditions réalistes d’expérimentation. Pour pallier à ce problème de nombreuses techniques pour le « régulariser » existent. La méthode plus particulièrement étudiée ici est celle combinant la régularisation classique de Tykhonov avec la technique du beamforming. Au travers des simulations et expériences en chambre anéchoique cette méthode est alors apparue comme étant plus efficace que la simple régularisation de Tikhonov. Pour compléter cette validation des mesures en situations moins « idéales » ont été faites comme en chambre réverbérante ou dans la cabine taille réelle d’avion du laboratoire GAUS. Ces expériences ont alors confirmé les observations faites préalablement. Parallèlement à cela, le développement d’un système de mesure a été fait ainsi que des outils nécessaires à son exploitation.

Digital Wireless communications has been one of the fastest growing communication techniques during the last decade. Today there exists several different communication systems that use wireless techniques. They share one common property that they transmit data through a radio interface. The radio channel is a tough channel that will both distort and disturb the transmitted signal in various ways. In Jörgen Nordberg's PhD-thesis "Signal Enhancement in Wireless Communications Systems" several different signal enhancement schemes are presented. They have the objective to minimize the impact of the channel. The main part of this thesis presents work on interference cancellation, i.e. how to reduce the impact of other interfering signals on the channel of interest. This is achieved by utilizing the spatial domain, i.e. the receiver is using several antennas to receive the transmitted signals. By using a multitude of antennas techniques like spatial diversity, adaptive antenna arrays, signal separation and beamforming can be applied to combat the interfering signals. In the single antenna case there is often a need to do channel equalization. Since, channel equalization is an inverse filtering, it will often result in estimation of equalization filter parameters of very high order. To reduce the both the complexity and improve the convergence speed of the equalization filter parameter estimation subband processing techniques can be used. In this case the received signal is separated up into different frequency bands (subbands) and decimated according to the bandwidth of the signal. The channel equalization problem is then solved for each subband at a lower sampling rate. Hence, the channel equalization problem is transformed from estimating the parameters of a high order filter into estimating several filter of much lower order. / Ett av områdena inom telekommunikation som har ökat mest de senaste åren är radio kommunikation. Det finns många olika varianter av trådlösa radio system, men de har alla en sak gemensamt, de överför information/data via ett radiogränssnitt. Signaler som sänds över en radiokanal kommer på grund av många olika anledningar att bli störda eller distorderade. I Jörgen Nordbergs doktorsavhandling ?Signal Enhancement in Wireless Communication Systems? presenteras flera metoder för att förbättra kvaliten i de mottagna signalerna vilket ger betydande kvalitetsförbättring. Huvuddelen av denna doktorsavhandling behandlar interferensundertrycking, d.v.s. hur man undertrycker oönskad störning på den egna radiokanalen. Dessa metoder är baserade på användning av flera antenner i mottagaren. Genom att ta emot signalerna med flera antenner så kan metoder såsom diversitetskombinering, adaptiva antenner, lobformning, signal separation användas för att förbättra kvaliteten i den mottagna signalen. Om mottagaren har en antenn så behövs oftast kanalutjämning för att förbättra den mottagna signalen och undertrycka intersymbolinterferens. Eftersom kanalutjämning är en typ av inversfiltrering leder detta ofta till estimering av filterparametrar av hög ordning. Estimeringsproblem av hög ordning leder ofta till komplexitetsproblem och konvergensproblem hos estimerings algoritmen. För att motverka dessa problem så presenteras i denna avhandling en kanalutjämnare som är baserad på subbandsteknik. I denna kanalutjämnare så delas den mottagna signalen upp i flera frekvensband (subband) som decimeras till en takt som motsvarar subbandets bandbredd varefter filterparametrarna estimeras i denna lägre takt. Därvid har estimeringsproblemet delats upp i flera små problem som kan hanteras enklare.