Propagation Channel Characterization, Parameter Estimation, and Modeling for Wireless Communications

Author:   Xuefeng Yin (Tongji University, Shanghai, China) ,  Xiang Cheng (Peking University, Beijing, China)
Publisher:   John Wiley & Sons Inc
ISBN:  

9781118188231


Pages:   350
Publication Date:   04 November 2016
Format:   Hardback
Availability:   Out of stock   Availability explained
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Propagation Channel Characterization, Parameter Estimation, and Modeling for Wireless Communications


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Author:   Xuefeng Yin (Tongji University, Shanghai, China) ,  Xiang Cheng (Peking University, Beijing, China)
Publisher:   John Wiley & Sons Inc
Imprint:   Wiley-IEEE Press
Dimensions:   Width: 16.80cm , Height: 2.30cm , Length: 24.60cm
Weight:   0.726kg
ISBN:  

9781118188231


ISBN 10:   1118188233
Pages:   350
Publication Date:   04 November 2016
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Out of stock   Availability explained
The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available.

Table of Contents

Preface xi List of Acronyms and Symbols xiii 1 Introduction 1 1.1 Book Objective 1 1.2 The Historical Context 2 1.3 Book Outline 8 2 Characterization of Propagation Channels 15 2.1 Three Phenomena in Wireless Channels 15 2.2 Path Loss and Shadowing 16 2.3 Multipath Fading 18 2.4 Stochastic Characterization of Multipath Fading 22 2.5 Duality of Multipath Fading 26 2.6 WSSUS Assumption of Multipath Fading 28 2.7 A Review of Propagation Channel Modeling 31 3 Generic Channel Models 41 3.1 Channel Spread Function 43 3.2 Specular-path Model 46 3.3 Dispersive-path Model 51 3.4 Time-evolution Model 54 3.5 Power Spectral Density Model 57 3.6 Model for Keyhole Channel 68 4 Geometry-based Stochastic Channel Modeling 77 4.1 General Modeling Procedure 77 4.2 Regular-shaped Geometry-based Stochastic Models 79 4.3 Irregular-shaped Geometry-based Stochastic Models 83 4.4 Simulation Models 84 4.5 Simulation Models for Non-isotropic Scattering Narrowband SISO V2V Rayleigh Fading Channels 90 5 Channel Measurements 106 5.1 Channel-sounding Equipment/System 107 5.2 Post-processing of Measurement Data 109 5.3 Impact of Phase Noise and Possible Solutions 110 5.4 Directional Radiation Patterns 117 5.5 Switching-mode Selection 124 6 Deterministic Channel-parameter Estimation 145 6.1 Bartlett Beamformer 146 6.2 The MUSIC Algorithm 148 6.3 The ESPRIT and Propagator Methods 150 6.4 Maximum-likelihood Method 152 6.5 The SAGE Algorithm 153 6.6 A Brief Introduction to the RiMAX Algorithm 172 6.7 Evidence-framework-based Algorithms 172 6.8 Extended Kalman-filter-based Tracking Algorithm 178 6.9 Particle-filter-based Tracking Algorithm 188 7 Statistical Channel-parameter Estimation 201 7.1 A Brief Review of Dispersive Parameter Estimators 201 7.2 Dispersive Component Estimation Algorithms 203 7.3 PSD-based Dispersive Component Estimation 218 7.4 Bidirection-delay-Doppler Frequency PSD Estimation 219 8 Measurement-based Statistical Channel Modeling 236 8.1 General Modeling Procedures 237 8.2 Clustering Algorithm based on Specular-path Models 241 8.3 Data Segment-length Selection 245 8.4 Relay and CoMP Channel Modeling 249 9 In Practice: Channel Modeling for Modern Communication Systems 260 9.1 Scenarios for V2V and Cooperative Communications 260 9.2 Channel Characteristics 264 9.3 Scattering Theoretical Channel Models for Conventional Cellular MIMO Systems 265 9.4 Scattering Theoretical Channel Models for V2V Systems 279 9.5 Scattering Theoretical Channel Models for Cooperative MIMO Systems 329 Appendix A 353 Bibliography 378 Index 379

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XUEFENG YIN, Tongji University, China XIANG CHENG, Peking University, China

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