Adaptive Signal Processing In Wireless Communications
DOWNLOAD
Download Adaptive Signal Processing In Wireless Communications PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Adaptive Signal Processing In Wireless Communications book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Adaptive Signal Processing In Wireless Communications
DOWNLOAD
Author : Mohamed Ibnkahla
language : en
Publisher: CRC Press
Release Date : 2017-12-19
Adaptive Signal Processing In Wireless Communications written by Mohamed Ibnkahla and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-12-19 with Technology & Engineering categories.
Adaptive techniques play a key role in modern wireless communication systems. The concept of adaptation is emphasized in the Adaptation in Wireless Communications Series through a unified framework across all layers of the wireless protocol stack ranging from the physical layer to the application layer, and from cellular systems to next-generation wireless networks. This specific volume, Adaptive Signal Processing in Wireless Communications is devoted to adaptation in the physical layer. It gives an in-depth survey of adaptive signal processing techniques used in current and future generations of wireless communication systems. Featuring the work of leading international experts, it covers adaptive channel modeling, identification and equalization, adaptive modulation and coding, adaptive multiple-input-multiple-output (MIMO) systems, and cooperative diversity. It also addresses other important aspects of adaptation in wireless communications such as hardware implementation, reconfigurable processing, and cognitive radio. A second volume in the series, Adaptation and Cross-layer Design in Wireless Networks(cat no.46039) is devoted to adaptation in the data link, network, and application layers.
Adaptive Signal Processing In Wireless Communications
DOWNLOAD
Author :
language : en
Publisher:
Release Date : 2008
Adaptive Signal Processing In Wireless Communications written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with categories.
Adaptation In Wireless Communications Adaptive Signal Processing In Wireless Communications
DOWNLOAD
Author : Mohamed Ibnkahla
language : en
Publisher:
Release Date : 2009
Adaptation In Wireless Communications Adaptive Signal Processing In Wireless Communications written by Mohamed Ibnkahla and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with Wireless communication systems categories.
Adaptation And Cross Layer Design In Wireless Networks
DOWNLOAD
Author : Mohamed Ibnkahla
language : en
Publisher: CRC Press
Release Date : 2018-10-08
Adaptation And Cross Layer Design In Wireless Networks written by Mohamed Ibnkahla and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-10-08 with Technology & Engineering categories.
Adaptive techniques play a key role in modern wireless communication systems. The concept of adaptation is emphasized in the Adaptation in Wireless Communications Series through a unified framework across all layers of the wireless protocol stack ranging from the physical layer to the application layer, and from cellular systems to next-generation wireless networks. Adaptation and Cross Layer Design in Wireless Networks is devoted to adaptation in the data link layer, network layer, and application layer. The book presents state-of-the-art adaptation techniques and methodologies, including cross-layer adaptation, joint signal processing, coding and networking, selfishness in mobile ad hoc networks, cooperative and opportunistic protocols, adaptation techniques for multimedia support, self –organizing routing, and tunable security services. It presents several new theoretical paradigms and analytical findings which are supported with various simulation and experimental results. Adaptation in wireless communications is needed in order to achieve high capacity and ubiquitous communications. The current trend in wireless communication systems is to make adaptation dependent upon the state of the relevant parameters in all layers of the system. Focusing on simplified cross layer design approaches, this volume describes advanced techniques such as adaptive resource management, adaptive modulation and coding, 4G communications, QoS, diversity combining, and energy and mobility aware MAC protocols. The first volume in the series, Adaptive Signal Processing in Wireless Communications (cat no.46012) covers adaptive signal processing at the physical layer.
Robust Signal Processing For Wireless Communications
DOWNLOAD
Author : Frank Dietrich
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-10-25
Robust Signal Processing For Wireless Communications written by Frank Dietrich and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-10-25 with Technology & Engineering categories.
Optimization of adaptive signal processing algorithms for wireless communications is based on a model of the underlying propagation channel. In practice, this model is never known perfectly. For example, its parameters have to be estimated and are only known with significant errors. In this book, a systematic treatment of this practical design problem is provided for signal processing in the physical layer with multiple antennas. The design of robust signal processing algorithms is based on a description of the errors and the uncertainties in the system's model. It applies principles of modern estimation, optimization, and information theory. Tutorial introductions to relevant literature and mathematical foundations give the necessary background and context to the reader. The book provides detailed derivations and enlightening insights into the related technical problems covering the following topics in detail: An overview of the principles of training-based multiple-input multiple-output (MIMO) channel estimation. Robust minimax estimation of the wireless communication channel. Robust minimax prediction of the wireless communication channel based on the maximum Doppler frequency. Identification of channel and noise correlations (power delay profile, spatial and temporal correlations, spatial correlations of interference). Interpolation of band-limited autocovariance sequences. Robust linear and nonlinear precoding for the multi-user downlink with multiple antennas which is based on incomplete channel state information or channel correlations (performance measures, duality, robust Tomlinson-Harashima precoding, robust vector precoding, nonlinear beamforming).
Novel Complex Adaptive Signal Processing Techniques Employing Optimally Derived Time Varying Convergence Factors With Applications In Digital Signal Processing And Wireless Communications
DOWNLOAD
Author : Raghuram Ranganathan
language : en
Publisher:
Release Date : 2008
Novel Complex Adaptive Signal Processing Techniques Employing Optimally Derived Time Varying Convergence Factors With Applications In Digital Signal Processing And Wireless Communications written by Raghuram Ranganathan and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with Adaptive filters categories.
In digital signal processing in general, and wireless communications in particular, the increased usage of complex signal representations, and spectrally efficient complex modulation schemes such as QPSK and QAM has necessitated the need for efficient and fast-converging complex digital signal processing techniques. In this research, novel complex adaptive digital signal processing techniques are presented, which derive optimal convergence factors or step sizes for adjusting the adaptive system coefficients at each iteration. In addition, the real and imaginary components of the complex signal and complex adaptive filter coefficients are treated as separate entities, and are independently updated. As a result, the developed methods efficiently utilize the degrees of freedom of the adaptive system, thereby exhibiting improved convergence characteristics, even in dynamic environments. In wireless communications, acceptable co-channel, adjacent channel, and image interference rejection is often one of the most critical requirements for a receiver. In this regard, the fixed-point complex Independent Component Analysis (ICA) algorithm, called Complex FastICA, has been previously applied to realize digital blind interference suppression in stationary or slow fading environments. However, under dynamic flat fading channel conditions frequently encountered in practice, the performance of the Complex FastICA is significantly degraded. In this dissertation, novel complex block adaptive ICA algorithms employing optimal convergence factors are presented, which exhibit superior convergence speed and accuracy in time-varying flat fading channels, as compared to the Complex FastICA algorithm. The proposed algorithms are called Complex IA-ICA, Complex OBA-ICA, and Complex CBC-ICA. For adaptive filtering applications, the Complex Least Mean Square algorithm (Complex LMS) has been widely used in both block and sequential form, due to its computational simplicity. However, the main drawback of the Complex LMS algorithm is its slow convergence and dependence on the choice of the convergence factor. In this research, novel block and sequential based algorithms for complex adaptive digital filtering are presented, which overcome the inherent limitations of the existing Complex LMS. The block adaptive algorithms are called Complex OBA-LMS and Complex OBAI-LMS, and their sequential versions are named Complex HA-LMS and Complex IA-LMS, respectively. The performance of the developed techniques is tested in various adaptive filtering applications, such as channel estimation, and adaptive beamforming. The combination of Orthogonal Frequency Division Multiplexing (OFDM) and the Multiple-Input-Multiple-Output (MIMO) technique is being increasingly employed for broadband wireless systems operating in frequency selective channels. However, MIMO-OFDM systems are extremely sensitive to Intercarrier Interference (ICI), caused by Carrier Frequency Offset (CFO) between local oscillators in the transmitter and the receiver. This results in crosstalk between the various OFDM subcarriers resulting in severe deterioration in performance. In order to mitigate this problem, the previously proposed Complex OBA-ICA algorithm is employed to recover user signals in the presence of ICI and channel induced mixing. The effectiveness of the Complex OBA-ICA method in performing ICI mitigation and signal separation is tested for various values of CFO, rate of channel variation, and Signal to Noise Ratio (SNR).
Novel Adaptive Signal Processing Algorithms For Wireless Communications
DOWNLOAD
Author : Shannon David Blunt
language : en
Publisher:
Release Date : 2002
Novel Adaptive Signal Processing Algorithms For Wireless Communications written by Shannon David Blunt and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002 with Adaptive signal processing categories.
In this research we propose two novel adaptive signal processing techniques to enhance the quality of a received signal that is transmitted over a wireless communication link. In the first we develop a family of efficient echo cancellation algorithms that require no knowledge of the echo-path. Echoes significantly degrade the quality of service in wireless communications because of extra delay introduced into the transmission path from the speech compression/decompression process. To remove these echoes we must identify the echo-path impulse response that in general is sparse (predominantly zero). This makes it desirable to adapt only those filter coefficients corresponding to the non-zero regions of the impulse response. To accomplish this we exploit the hierarchical structure and temporal localization property of the wavelet decomposition. In this way we are able to adapt a small subset of filter coefficients and then, based on the coefficients that are significantly different from zero, to accurately identify the remaining coefficients that require adaptation as well. This approach was previously applied to the case of the Haar transform. The current work generalizes it to the wavelet decomposition in which any orthogonal or bi-orthogonal wavelet can be used. Due to the ability of longer wavelets to achieve greater input decorrelation, the resulting algorithm is capable of a significant improvement in convergence speed and computational complexity over LMS. The other novel adaptive technique we propose is in the physical layer to reduce the effect of multiple-access interference (MAI) for direct-sequence code-division multiple-access (DS-CDMA) wireless communication systems. A DS-CDMA system allows many users to share the same spectrum and distinguishes different user's data through the use of signature codes. In practice, these signature codes are not orthogonal and therefore data from different users interfere with each other and creates MAI. Past approaches have either used classical estimation techniques where each unknown user symbol to be estimated is treated as a deterministic parameter, or Bayesian techniques that treat each unknown user symbol as a stochastic parameter but restrict it to a finite set of discrete possible values. In this research, we employ Bayesian estimation such that each user symbol is treated as a stochastic parameter with continuous Gaussian distributions centered at the true symbol values of the data constellation. This allows us to develop a gradient-based maximum a posteriori (MAP) estimator that takes the structure of the particular symbol constellation into account in order to dramatically improve symbol estimation accuracy.
Adaptive Low Power Circuits For Wireless Communications
DOWNLOAD
Author : Aleksandar Tasic
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-03-06
Adaptive Low Power Circuits For Wireless Communications written by Aleksandar Tasic and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-03-06 with Technology & Engineering categories.
Adaptive radio transceivers require a comprehensive theoretical framework in order to optimize their performance. Adaptive Low-Power Circuits for Wireless Communications provides this framework with a discussion of joint optimization of Noise Figure and Input Intercept Point in receiver systems. Original techniques to optimize voltage controlled oscillators and low-noise amplifiers to minimize their power consumption while maintaining adequate system performance are also provided. The experimental results presented at the end of the book confirm the utility of the proposed techniques.
The Electrical Engineering Handbook Six Volume Set
DOWNLOAD
Author : Richard C. Dorf
language : en
Publisher: CRC Press
Release Date : 2018-12-14
The Electrical Engineering Handbook Six Volume Set written by Richard C. Dorf and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-12-14 with Technology & Engineering categories.
In two editions spanning more than a decade, The Electrical Engineering Handbook stands as the definitive reference to the multidisciplinary field of electrical engineering. Our knowledge continues to grow, and so does the Handbook. For the third edition, it has grown into a set of six books carefully focused on specialized areas or fields of study. Each one represents a concise yet definitive collection of key concepts, models, and equations in its respective domain, thoughtfully gathered for convenient access. Combined, they constitute the most comprehensive, authoritative resource available. Circuits, Signals, and Speech and Image Processing presents all of the basic information related to electric circuits and components, analysis of circuits, the use of the Laplace transform, as well as signal, speech, and image processing using filters and algorithms. It also examines emerging areas such as text to speech synthesis, real-time processing, and embedded signal processing. Electronics, Power Electronics, Optoelectronics, Microwaves, Electromagnetics, and Radar delves into the fields of electronics, integrated circuits, power electronics, optoelectronics, electromagnetics, light waves, and radar, supplying all of the basic information required for a deep understanding of each area. It also devotes a section to electrical effects and devices and explores the emerging fields of microlithography and power electronics. Sensors, Nanoscience, Biomedical Engineering, and Instruments provides thorough coverage of sensors, materials and nanoscience, instruments and measurements, and biomedical systems and devices, including all of the basic information required to thoroughly understand each area. It explores the emerging fields of sensors, nanotechnologies, and biological effects. Broadcasting and Optical Communication Technology explores communications, information theory, and devices, covering all of the basic information needed for a thorough understanding of these areas. It also examines the emerging areas of adaptive estimation and optical communication. Computers, Software Engineering, and Digital Devices examines digital and logical devices, displays, testing, software, and computers, presenting the fundamental concepts needed to ensure a thorough understanding of each field. It treats the emerging fields of programmable logic, hardware description languages, and parallel computing in detail. Systems, Controls, Embedded Systems, Energy, and Machines explores in detail the fields of energy devices, machines, and systems as well as control systems. It provides all of the fundamental concepts needed for thorough, in-depth understanding of each area and devotes special attention to the emerging area of embedded systems. Encompassing the work of the world's foremost experts in their respective specialties, The Electrical Engineering Handbook, Third Edition remains the most convenient, reliable source of information available. This edition features the latest developments, the broadest scope of coverage, and new material on nanotechnologies, fuel cells, embedded systems, and biometrics. The engineering community has relied on the Handbook for more than twelve years, and it will continue to be a platform to launch the next wave of advancements. The Handbook's latest incarnation features a protective slipcase, which helps you stay organized without overwhelming your bookshelf. It is an attractive addition to any collection, and will help keep each volume of the Handbook as fresh as your latest research.
Adaptive Filters
DOWNLOAD
Author : Behrouz Farhang-Boroujeny
language : en
Publisher: John Wiley & Sons
Release Date : 2013-04-02
Adaptive Filters written by Behrouz Farhang-Boroujeny and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-04-02 with Technology & Engineering categories.
This second edition of Adaptive Filters: Theory and Applications has been updated throughout to reflect the latest developments in this field; notably an increased coverage given to the practical applications of the theory to illustrate the much broader range of adaptive filters applications developed in recent years. The book offers an easy to understand approach to the theory and application of adaptive filters by clearly illustrating how the theory explained in the early chapters of the book is modified for the various applications discussed in detail in later chapters. This integrated approach makes the book a valuable resource for graduate students; and the inclusion of more advanced applications including antenna arrays and wireless communications makes it a suitable technical reference for engineers, practitioners and researchers. Key features: • Offers a thorough treatment of the theory of adaptive signal processing; incorporating new material on transform domain, frequency domain, subband adaptive filters, acoustic echo cancellation and active noise control. • Provides an in-depth study of applications which now includes extensive coverage of OFDM, MIMO and smart antennas. • Contains exercises and computer simulation problems at the end of each chapter. • Includes a new companion website hosting MATLAB® simulation programs which complement the theoretical analyses, enabling the reader to gain an in-depth understanding of the behaviours and properties of the various adaptive algorithms.