Wireless Multi-Antenna Channels

Serguei Primak 지음

Wiley 2011년 10월 14일 출간

작품소개

책소개

This book offers a practical guide on how to use and apply channel models for system evaluationIn this book, the authors focus on modeling and simulation of multiple antennas channels, including multiple input multiple output (MIMO) communication channels, and the impact of such models on channel estimation and system performance. Both narrowband and wideband models are addressed. Furthermore, the book covers topics related to modeling of MIMO channel, their numerical simulation, estimation and prediction, as well as applications to receive diversity, capacity and space-time coding techniques.Key Features:Contains significant background material, as well as novel research coverage, which make the book suitable for both graduate students and researchersAddresses issues such as key-hole, correlated and non i.i.d. channels in the frame of the Generalized Gaussian approachProvides a unique treatment of generalized Gaussian channels and orthogonal channel representationReviews different interpretations of scattering environment, including geometrical modelsFocuses on the analytical techniques which give a good insight into the design of systems on higher levelsDescribes a number of numerical simulators demonstrating the practical use of this material.Includes an accompanying website containing additional materials and practical examples for self-studyThis book will be of interest to researchers, engineers, lecturers, and graduate students.

목차

About the Series Editors xi1 Introduction 11.1 General remarks 11.2 Signals, interference, and types of parallel channels 32 Four-parametric model of a SISO channel 72.1 Multipath propagation 72.2 Random walk approach to modeling of scattering field 132.2.1 Random walk in two dimensions as a model for scattering field 132.2.2 Phase distribution and scattering strength 142.2.3 Distribution of intensity 142.2.4 Distribution of the random phase 172.3 Gaussian case 182.3.1 Four-parametric distribution family 182.3.2 Distribution of the magnitude 202.3.3 Distribution of the phase 272.3.4 Moment generating function, moments and cumulants of four-parametric distribution 292.3.5 Some aspects of multiple scattering propagation 293 Models of MIMO channels 333.1 General classification of MIMO channel models 333.2 Physical models 333.2.1 Deterministic models 343.2.2 Geometry-based stochastic models 353.3 Analytical models 363.3.1 Channel matrix model 373.4 Geometrical phenomenological models 473.4.1 Scattering from rough surfaces 483.5 On the role of trigonometric polynomials in analysis and simulation of MIMO channels 493.5.1 Measures of dependency 503.5.2 Non-negative trigonometric polynomials and their use in estimation of AoD and AoA distribution 513.5.3 Approximation of marginal PDF using non-negative polynomials 513.6 Canonical expansions of bivariate distributions and the structure MIMO channel covariance matrix 523.6.1 Canonical variables and expansion 523.6.2 General structure of the full covariance matrix 543.6.3 Relationship to other models 543.7 Bivariate von Mises distribution with correlated transmit and receive sides 563.7.1 Single cluster scenario 563.7.2 Multiple clusters scenario 583.8 Bivariate uniform distributions 583.8.1 Harmonic coupling 583.8.2 Markov-type bivariate density 613.9 Analytical expression for the

작가정보

저자(글) Serguei Primak