Blind and Semi-blind Channel Equalization for GSM Wireless Communication Systems PDF Download

Author: Ge Li
Publisher:
ISBN:
Category : Equalizers (Electronics)
Languages : en
Pages : 242

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Author: Steven D. Halford
Publisher:
ISBN:
Category : Cyclostationary waves
Languages : en
Pages : 272

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Book Description
Presents a blind channel estimation method for use in the removal of noise and distortion from signals in wireless communication systems. Approaches for blind equalization of communications signals that use transmitter-induced cyclostationarity are also described.

Author: Zhi Ding
Publisher: CRC Press
ISBN: 1482270730
Category : Technology & Engineering
Languages : en
Pages : 418

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Book Description
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.

Author: Xiangyang Zhuang
Publisher:
ISBN:
Category : Digital communications
Languages : en
Pages : 182

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Author: Kenneth E. Barner
Publisher: CRC Press
ISBN: 0203010418
Category : Technology & Engineering
Languages : en
Pages : 560

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Nonlinear signal and image processing methods are fast emerging as an alternative to established linear methods for meeting the challenges of increasingly sophisticated applications. Advances in computing performance and nonlinear theory are making nonlinear techniques not only viable, but practical. This book details recent advances in nonl

Author: K.C. Raveendranathan
Publisher: CRC Press
ISBN: 135183178X
Category : Computers
Languages : en
Pages : 238

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Book Description
Equalizers are present in all forms of communication systems. Neuro-Fuzzy Equalizers for Mobile Cellular Channels details the modeling of a mobile broadband communication channel and designing of a neuro-fuzzy adaptive equalizer for it. This book focuses on the concept of the simulation of wireless channel equalizers using the adaptive-network-based fuzzy inference system (ANFIS). The book highlights a study of currently existing equalizers for wireless channels. It discusses several techniques for channel equalization, including the type-2 fuzzy adaptive filter (type-2 FAF), compensatory neuro-fuzzy filter (CNFF), and radial basis function (RBF) neural network. Neuro-Fuzzy Equalizers for Mobile Cellular Channels starts with a brief introduction to channel equalizers, and the nature of mobile cellular channels with regard to the frequency reuse and the resulting CCI. It considers the many channel models available for mobile cellular channels, establishes the mobile indoor channel as a Rayleigh fading channel, presents the channel equalization problem, and focuses on various equalizers for mobile cellular channels. The book discusses conventional equalizers like LE and DFE using a simple LMS algorithm and transversal equalizers. It also covers channel equalization with neural networks and fuzzy logic, and classifies various equalizers. This being a fairly new branch of study, the book considers in detail the concept of fuzzy logic controllers in noise cancellation problems and provides the fundamental concepts of neuro-fuzzy. The final chapter offers a recap and explores venues for further research. This book also establishes a common mathematical framework of the equalizers using the RBF model and develops a mathematical model for ultra-wide band (UWB) channels using the channel co-variance matrix (CCM). Introduces the novel concept of the application of adaptive-network-based fuzzy inference system (ANFIS) in the design of wireless channel equalizers Provides model ultra-wide band (UWB) channels using channel co-variance matrix Offers a formulation of a unified radial basis function (RBF) framework for ANFIS-based and fuzzy adaptive filter (FAF) Type II, as well as compensatory neuro-fuzzy equalizers Includes extensive use of MATLAB® as the simulation tool in all the above cases

Author: Mohamed Ibnkahla
Publisher: CRC Press
ISBN: 0203496515
Category : Technology & Engineering
Languages : en
Pages : 872

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In recent years, a wealth of research has emerged addressing various aspects of mobile communications signal processing. New applications and services are continually arising, and future mobile communications offer new opportunities and exciting challenges for signal processing. The Signal Processing for Mobile Communications Handbook provi

Author: Shawn Patrick Neugebauer
Publisher:
ISBN:
Category :
Languages : en
Pages : 378

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Author: Yunhao Tian
Publisher:
ISBN:
Category :
Languages : en
Pages :

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Wireless communications is the fastest growing segment of communication technologies. In a wireless communication system, the inter-symbol interference (ISI) is a linear distortion which causes decision errors at the receiver. The equalizer is required to remove the ISI. In the past decade, the blind channel equalization has been a popular research topic in the area of wireless communication. A particular class of blind equalization approaches is based on the second order statistics (SOS) of the received signals. Within this framework, subspace methods exploit the orthogonality between the signal and noise subspaces in order to identify the channel characteristics so that the equalizer can be constructed.This thesis investigates a new equalization algorithm for the time-varying (TV) channel under the single-input multiple-output (SIMO) framework. The TV channel is decomposed using arbitrary basis functions associated with time variable properties of the channels...

Author: Xiangguo Tang
Publisher:
ISBN:
Category :
Languages : en
Pages : 266

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