Download or read book SVD based Estimation and Rank Detection for Reduced rank MIMO Channel written by Tao Cui and published by . This book was released on 2014 with total page 71 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multi-input-multi-output (MIMO) system, due to its large channel capacity and high reliability, has been widely studied in numerous existing work. It has a lot of applications in reality, e.g., 3GPP and LTE standards. These advantages owes to the understanding of the MIMO channel, which shows the necessity of the obtainment of channel state information (CSI). In this thesis, channel estimation schemes based on singular value decomposition (SVD) are proposed for MIMO systems, where instead of estimating each entry of the channel matrix, the singular spaces and singular values are estimated, respectively. When the channel rank is fixed and known, the maximum-likelihood (ML) estimator is derived. When the channel rank is unknown, by using the singular values of the observation matrix as the test statistics, three threshold-based rank detection algorithms are proposed. In finding the thresholds, lower bounds on the correct detection probability are derived and the thresholds are chosen to maximize the lower bounds. To evaluate the performance, mean square error (MSE) and achievable beamforming capacity are introduced as the criteria. Compared with entry-based ML estimation, simulations show that the combination of the proposed rank detection and SVD-based channel estimation achieves lower MSE and higher capacity.
Download or read book Channel Estimation in Massive Multi User MIMO Systems Based on Low Rank Matrix Approximation written by Muamer Hawej and published by . This book was released on 2019 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Joint Signal Detection and Channel Estimation in Rank Deficient MIMO Systems written by José Luis Lagunas and published by . This book was released on 2012 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book SVD and Signal Processing III written by M. Moonen and published by Elsevier. This book was released on 1995-03-16 with total page 499 pages. Available in PDF, EPUB and Kindle. Book excerpt: Matrix Singular Value Decomposition (SVD) and its application to problems in signal processing is explored in this book. The papers discuss algorithms and implementation architectures for computing the SVD, as well as a variety of applications such as systems and signal modeling and detection.The publication presents a number of keynote papers, highlighting recent developments in the field, namely large scale SVD applications, isospectral matrix flows, Riemannian SVD and consistent signal reconstruction. It also features a translation of a historical paper by Eugenio Beltrami, containing one of the earliest published discussions of the SVD.With contributions sourced from internationally recognised scientists, the book will be of specific interest to all researchers and students involved in the SVD and signal processing field.
Download or read book Low Complexity MIMO Detection written by Lin Bai and published by Springer Science & Business Media. This book was released on 2012-01-08 with total page 251 pages. Available in PDF, EPUB and Kindle. Book excerpt: Low Complexity MIMO Detection introduces the principle of MIMO systems and signal detection via MIMO channels. This book systematically introduces the symbol detection in MIMO systems. Includes the fundamental knowledge of MIMO detection and recent research outcomes for low complexity MIMO detection.
Download or read book Blind Equalization and Identification written by Zhi Ding and published by CRC Press. This book was released on 2001-01-09 with total page 440 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text seeks to clarify various contradictory claims regarding capabilities and limitations of blind equalization. It highlights basic operating conditions and potential for malfunction. The authors also address concepts and principles of blind algorithms for single input multiple output (SIMO) systems and multi-user extensions of SIMO equalization and identification.
Download or read book TUM LNS TR 05 01 written by Ingmar Groh and published by . This book was released on 2005 with total page 75 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Comparison Study for Multi user MIMO Channel Estimation Techniques written by Mohammad Naser Fawwaz Khasawneh and published by . This book was released on 2009 with total page 44 pages. Available in PDF, EPUB and Kindle. Book excerpt: Channel estimation problem is a crucial state of the art research topic that has been addressed in the literature for the past decade. The importance of such research area emerged from the fact that telecommunication scholars are searching for a wireless telecommunication system that provides a minimum error performance yet can utilize the used spectrum efficiently. Channel estimation is a common practice in most of the wireless communication systems to give the receiver an indication about the channel conditions and hence will affect his decision in detecting the transmitted information This thesis will Compare Four methods for Channel estimation problems based in semi-blind approach for MU-MIMO systems; the Rank Revealing QR factorization RRQR, Least square method LS, CAPON method and the Eigenvector method. Performance comparison is based on the Minimum mean square error (MMSE). The introduced method in this thesis is the Eigenvector method, and it's presented in comparison to the first three methods. Compared to the RRQR the Eigenvector is based on a searching function similar to the MUSIC function with the addition of the Eigen values of the null space in the search function.
Download or read book Wireless Communications written by Giorgio A. Vitetta and published by John Wiley & Sons. This book was released on 2013-03-29 with total page 849 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces the theoretical elements at the basis of various classes of algorithms commonly employed in the physical layer (and, in part, in MAC layer) of wireless communications systems. It focuses on single user systems, so ignoring multiple access techniques. Moreover, emphasis is put on single-input single-output (SISO) systems, although some relevant topics about multiple-input multiple-output (MIMO) systems are also illustrated. Comprehensive wireless specific guide to algorithmic techniques Provides a detailed analysis of channel equalization and channel coding for wireless applications Unique conceptual approach focusing in single user systems Covers algebraic decoding, modulation techniques, channel coding and channel equalisation
Download or read book Signal Processing Channel Estimation and Link Adaptation in MIMO OFDM Systems written by Jianjun Ran and published by Cuvillier Verlag. This book was released on 2008 with total page 161 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Wireless MIMO OFDM Systems with Coherent and Non Coherent Detection written by Alexander Vanaev and published by Cuvillier Verlag. This book was released on 2013-02-05 with total page 206 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this thesis the physical layer design of broadband MIMO-OFDM communication systems is considered taking into account the realistic multipath radio channel. The main focus is made on examining a number of coherent and non-coherent MIMO techniques both analytically and via computer simulations. Several proposals are made to assist intelligent selection of MIMO precoding and decoding algorithms. Additionally two novel improved differential transmission schemes are presented and analyzed. In dieser Arbeit wird der Entwurf der physikalischen Schicht für breitbandige MIMO-OFDM Kommunikationssysteme betrachtet. Dazu werden realistische Funkkanalmodelle mit Mehrwegeausbreitung berücksichtigt. Ein wesentlicher Schwerpunkt der Arbeit liegt auf Untersuchungen zu kohärenten und nichtkohärenten MIMO-Techniken, die sowohl analytisch als auch mit Hilfe von Computersimulationen durchgeführt werden. Es werden verschiedene Vorschläge erarbeitet, wie eine intelligente Auswahl von MIMO-Techniken zur Vorcodierung sowie zur Decodierung getroffen werden kann. Darüber hinaus werden zwei neuartige, verbesserte differentielle Übertragungsverfahren vorgestellt und analysiert.
Download or read book Channel Estimation and Data Detection Methods for 1 bit Massive MIMO Systems written by David Kin Wai Ho and published by . This book was released on 2022 with total page 158 pages. Available in PDF, EPUB and Kindle. Book excerpt: Massive multiple-input multiple-output (MIMO) is a promising technology for next generation communication systems. In massive MIMO, a base station (BS) is equipped with a large antenna with potentially hundreds of antennas elements, allowing many users to be served simultaneously. Unfortunately, the hardware complexity and power consumption will scale with the number of antennas. The use of one-bit analog-to-digital converters (ADCs) provides an attractive solution to solve the above issues, since a one-bit ADC consumes negligible power and complex automatic gain control (AGC) can be removed. However, the signal distortion from the severe quantization poses significant challenges to the system designer. One bit quantization effectively removes all amplitude information, which is not recoverable by an increase in signal strength. This places a bound on channel estimation performance. Since the channel model is highly nonlinear, linear detector is suboptimal compared to more sophisticated nonlinear techniques. To reduce the impairment caused by one-bit quantization, a novel antithetic dithering scheme is developed. Antithetic dither is introduced into the system to generate negative correlated noise. Efficient channel estimation algorithms are developed to exploit the induced negative correlated noise in the system. A statistical framework is developed to validate the noise reduction from negative correlated quantized output. To improve the performance of data detection, feed forward neural network based detectors are developed, performance of these detectors are analyzed, architectural modification and training techniques are employed to partially resolve issues that prevent the networks from reaching ideal maximum likelihood performance. Next, model based approaches are evaluated and the shortcomings of iterative methods that rely on the exact likelihood are identified. Iterative methods based on the exact likelihood is shown to diverge due to the increasingly large gradient at high SNR. The constant gradient induced by the sigmoid approximation is shown to increase the robustness of these methods. A structured deep learning detector based on stochastic variational inference is proposed. Stochastic estimate of the gradient is introduced to reduce complexity of the algorithm. Damping is added to improve the performance of mean field inference. Parallel processing is proposed to reduce inference time. The proposed detector is shown to outperform existing methods that do not employ a second candidate search step.
Download or read book Advanced Wireless Communications and Internet written by Savo G. Glisic and published by John Wiley & Sons. This book was released on 2011-05-03 with total page 1025 pages. Available in PDF, EPUB and Kindle. Book excerpt: ADVANCED WIRELESS COMMUNICATIONS AND INTERNET THIRD EDITION ADVANCED WIRELESS COMMUNICATIONS AND INTERNET Future Evolving Technologies The new edition of Advanced Wireless Communications: 4G Cognitive and Cooperative Broadband Technology, 2nd Edition, including the latest developments In the evolution of wireless communications, the dominant challenges are in the areas of networking and their integration with the Future Internet. Even the classical concept of cellular networks is changing and new technologies are evolving to replace it. To reflect these new trends, Advanced Wireless Communications & INTERNET builds upon the previous volumes, enhancing the existing chapters, and including a number of new topics. Systematically guiding readers from the fundamentals through to advanced areas, each chapter begins with an introductory explanation of the basic problems and solutions followed with an analytical treatment in greater detail. The most important aspects of new emerging technologies in wireless communications are comprehensively covered including: next generation Internet; cloud computing and network virtualization; economics of utility computing and wireless grids and clouds. This gives readers an essential understanding of the overall environment in which future wireless networks will be operating. Furthermore, a number of methodologies for maintaining the network connectivity, by using tools ranging from genetic algorithms to stochastic geometry and random graphs theory, and a discussion on percolation and connectivity, are also offered. The book includes a chapter on network formation games, covering the general models, knowledge based network formation games, and coalition games in wireless ad hoc networks. Illustrates points throughout using real-life case studies drawn from the author’s extensive international experience in the field of telecommunications Fully updated to include the latest developments, key topics covered include: advanced routing and network coding; network stability control; relay-assisted Wireless Networks; multicommodity flow optimization problems, flow optimization in heterogeneous networks, and dynamic resource allocation in computing clouds Methodically guides readers through each topic from basic to advanced areas Focuses on system elements that provide adaptability and re-configurability, and discusses how these features can improve wireless communications system performance Enjoyed this book? Why not tell others about it and write a review on your favourite online bookseller.
Download or read book Academic Press Library in Signal Processing written by Mats Viberg and published by Academic Press. This book was released on 2013-08-31 with total page 1013 pages. Available in PDF, EPUB and Kindle. Book excerpt: This third volume, edited and authored by world leading experts, gives a review of the principles, methods and techniques of important and emerging research topics and technologies in array and statistical signal processing. With this reference source you will: - Quickly grasp a new area of research - Understand the underlying principles of a topic and its application - Ascertain how a topic relates to other areas and learn of the research issues yet to be resolved - Quick tutorial reviews of important and emerging topics of research in array and statistical signal processing - Presents core principles and shows their application - Reference content on core principles, technologies, algorithms and applications - Comprehensive references to journal articles and other literature on which to build further, more specific and detailed knowledge - Edited by leading people in the field who, through their reputation, have been able to commission experts to write on a particular topic
Download or read book Advanced Wireless Communications written by Savo G. Glisic and published by John Wiley & Sons. This book was released on 2007-06-13 with total page 890 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fully revised and updated version of the successful "AdvancedWireless Communications" Wireless communications continue to attract the attention ofboth research community and industry. Since the first edition waspublished significant research and industry activities have broughtthe fourth generation (4G) of wireless communications systemscloser to implementation and standardization. "Advanced Wireless Communications" continues to provide acomparative study of enabling technologies for 4G. This secondedition has been revised and updated and now includes additionalinformation on the components of common air interface, includingthe area of space time coding , multicarrier modulation especiallyOFDM, MIMO, cognitive radio and cooperative transmission. Ideal for students and engineers in research and development inthe field of wireless communications, the second edition ofAdvanced Wireless Communications also gives an understanding tocurrent approaches for engineers in telecomm operators, governmentand regulatory institutions. New features include: Brand new chapter covering linear precoding in MIMO channelsbased on convex optimization theory. Material based on game theory modelling encompassing problemsof adjacent cell interference, flexible spectra sharing andcooperation between the nodes in ad hoc networks. Presents and discusses the latest schemes for interferencesuppression in ultra wide band (UWB) cognitive systems. Discusses the cooperative transmission and more details onpositioning.
Download or read book Low Rank Approximations for Estimation of Multivariable Dynamics with Application to Energy Systems written by Yangsheng Hu and published by . This book was released on 2021 with total page 204 pages. Available in PDF, EPUB and Kindle. Book excerpt: System identification is a powerful tool for estimation of the systematic and causal dynamic relations by learning from measurements of input/output data. It provides an effective alternative when first-principles modeling is intractable. It plays an important role in model-based controller design especially during the stage of software-in-the-loop (SIL) and has been widely exploited in a wide range of real-world applications. This dissertation presents a study of theories and applications on multi-input multi-output (MIMO) system identification for estimation of multivariable dynamics between input/output data. The objective is to finally obtain a simplified dynamic model by emphasizing low-rank information during estimation with the aid of singular value decomposition (SVD). In this dissertation, we study the Covariance Based Realization Algorithm (CoBRA) for estimation of linear time-invariant and time-periodic dynamics and the tensor network (TN) based algorithm for estimation of nonlinear dynamics described by Volterra series. The CoBRA, one branch of subspace methods by using covariance data, is able to focus on the estimation of a low-order deterministic model from noisy data by exploiting the low-rank feature of the data matrix. We propose an optimal implementation of the CoBRA and investigate its efficacy in a closed-loop setting compared with other subspace methods. A MIMO Volterra model is powerful to approximate nonlinear dynamics on the basis of input/output observations. We cope with the curse of dimensionality during model formulation and present TN-based noniterative algorithms for MIMO Volterra system identification. The proposed algorithms show numerical advantages over iterative algorithms. This dissertation also studies two real-world applications in energy systems which involve estimation of multivariable dynamics. First, we investigate the microgrid dynamic modeling with power flow covariance data. We propose a model structure which consists of a MIMO linear part concatenated by a static nonlinear part to account for the power loss in transmission lines. Second, we study the modeling for lithium-ion batteries to accurately predict the output terminal voltage. We develop a TN-based Volterra double-capacitor (VDC) model, which is capable of predicting both static and dynamic nonlinearities simultaneously in a more accurate way than other equivalent circuit models (ECMs).
Download or read book Recent Advances in Structural Mechanics written by and published by . This book was released on 1992 with total page 204 pages. Available in PDF, EPUB and Kindle. Book excerpt:
