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Multiantenna Systems for MIMO Communications [Minkštas viršelis]

  • Formatas: Paperback / softback, 250 pages, aukštis x plotis: 235x191 mm, weight: 611 g
  • Serija: Synthesis Lectures on Antennas
  • Išleidimo metai: 08-Apr-2008
  • Leidėjas: Morgan & Claypool Publishers
  • ISBN-10: 1598290886
  • ISBN-13: 9781598290882
Kitos knygos pagal šią temą:
  • Formatas: Paperback / softback, 250 pages, aukštis x plotis: 235x191 mm, weight: 611 g
  • Serija: Synthesis Lectures on Antennas
  • Išleidimo metai: 08-Apr-2008
  • Leidėjas: Morgan & Claypool Publishers
  • ISBN-10: 1598290886
  • ISBN-13: 9781598290882
Kitos knygos pagal šią temą:
Advanced communication scenarios demand the development of new systemswhere antenna theory, channel propagation and communication models are seen from a common perspective as a way to understand and optimize the system as a whole. In this context, a comprehensive multiantenna formulation for multiple-input multiple-output systems is presented with a special emphasis on the connection of the electromagnetic and communication principles.Starting from the capacity for amultiantenna system, the book reviews radiation, propagation, and communicationmechanisms, paying particular attention to the vectorial, directional, and timefrequency characteristics of the wireless communication equation for low- and high-scattering environments. Based on the previous concepts, different space—time methods for diversity and multiplexing applications are discussed, multiantenna modeling is studied, and specific tools are introduced to analyze the antenna coupling mechanisms and formulate appropriate decorrelation techniques.Miniaturization techniques for closely spaced antennas are studied, and its fundamental limits and optimization strategies are reviewed. Finally, different practical multiantenna topologies for new communication applications are presented, and its main parameters discussed.A relevant feature is a collection of synthesis exercises that review the main topics of the book and introduces state-of-the art system architectures and parameters, facilitating its use either as a text book or as a support tool for multiantenna systems design.Table of Contents: Principles of Multiantenna Communication Systems / The Radio Channel for MIMO Communication Systems / Coding Theory for MIMO Communication Systems / Antenna Modeling for MIMO Communication Systems / Design of MPAs for MIMO Communication Systems / Design Examples and Performance Analysis of Different MPAs / References / List of Acronyms / List of Symbols / Operators and Mathematical Symbols
Principles of Multiantenna Communication Systems
1(30)
Introduction to Wireless Communications Systems
1(1)
Capacity in a Single-Input/Single-Output Communication System
2(2)
Impairments of the Wireless Channel
4(3)
Propagation Electromagnetic Phenomena
5(2)
Definition of a Multiantenna System
7(1)
Capacity in a MIMO Communication System
8(12)
System Model
9(3)
General Capacity Expression
12(1)
Uninformed Transmitter Capacity
12(1)
Water-Filling Capacity
13(6)
Channel Normalization
19(1)
Ergodic and Outage Capacity
20(1)
MIMO Channel Models
20(3)
Preliminaries of Antenna Design in MIMO Communication Systems
23(3)
Channel Coding in MIMO Communication Systems
26(5)
Diversity Techniques
27(4)
The Radio Channel for MIMO Communication Systems
31(36)
Introduction
31(1)
Radio Channel Propagation: Deterministic Physical Description
31(4)
Channel Bandwidth
32(1)
Space--Time CIR
33(2)
The Ideal Free-Space Propagation Case
35(4)
Free-Space SISO
35(2)
Free-Space MIMO
37(2)
The Multipath Propagation Case
39(10)
Multipath SISO
39(3)
Multipath MIMO
42(2)
Time-Variant Multipath MIMO
44(3)
Time-Variant Wideband Multipath MIMO
47(2)
Representations of an LTV Radio Channel
49(2)
LTV Wideband Bidirectional Polarimetric Multiantenna Multipath Radio Channel Model
51(9)
Polarimetric Transfer Matrices
53(2)
Distance Propagation Factor
55(2)
Nature of the MPCs
57(1)
DoD and DoA
58(1)
Modeling of Different Channel Types
58(2)
Quality of the MIMO Channel Model
60(7)
Frequency-Selective Channels
62(1)
Channel Time-Variant Predictions
62(1)
Channel Scattering Dimension
62(2)
Example: Capacity of a 2 x 2 MIMO System
64(3)
Coding Theory for MIMO Communication Systems
67(24)
Overview of MIMO Coding Techniques
67(1)
Performance Measures in Coding Theory
68(5)
Definition of Diversity Gain
68(1)
Definition of Multiplexing Gain
69(1)
Tradeoffs Between Diversity and Multiplexing Gain
69(1)
Definition of Array Gain
70(1)
Definition of Channel Correlation
70(3)
Combining Methods
73(1)
Space--Time Coding
74(8)
Classification of Space--Time Coding Techniques
76(1)
Space--Time Block Codes
77(2)
Space--Time Trellis Codes
79(2)
Beam Forming
81(1)
SM Techniques
82(2)
Bell Labs Layered Space--Time
83(1)
Combined Diversity Multiplexing Techniques
84(1)
Design Criteria for MIMO Coding Techniques
84(3)
Symbol Decision Criteria
84(1)
Diversity and Coding Gain Design Criteria
85(1)
Array Versus DG Design Criteria
86(1)
Power Allocation Criteria
87(1)
Performance Analysis
87(4)
Performance of Space--Time Coding Techniques
87(1)
Performance of SM Techniques
88(3)
Antenna Modeling for MIMO Communication Systems
91(56)
Introduction
91(1)
General Model for an MPA
92(9)
Scattering Matrix Representation
93(2)
Fundamental Scattering Properties
95(1)
Normalized Far-Field Radiation Pattern
96(2)
Fundamental Radiation Parameters
98(1)
Canonical Minimum Scattering Antennas
99(1)
Active Gain
100(1)
Components of a MIMO System Network Model
101(3)
Signal Source (Generator)
101(1)
Signal Drain (Loads)
102(1)
Transmit MPA
102(1)
Receive MPA
103(1)
Propagation Channel
103(1)
Assembled MIMO System Network Model
104(7)
Connection of Scattering Matrices
104(1)
Channel Matrix and Extended Channel Matrix
105(5)
Separation of the Transmitter and Receiver Side
110(1)
Physical Representation of the Propagation Channel
111(4)
Separation of the Transmitter and Receiver Channel Characteristics
113(2)
Mutual Coupling in MPAs
115(4)
Performance Measures in MIMO Communication Systems
119(23)
Transmission Power Gain
119(1)
Transmit Matching Efficiency
120(2)
Receive Matching Efficiency
122(1)
Mean Effective Gain
123(1)
Channel Correlation
124(2)
Antenna Correlation
126(1)
Receive Antenna Correlation
127(1)
Transmit Antenna Correlation
128(1)
Extended Transmit and Receive Antenna Correlation
129(1)
Antenna Correlation in Ideally Scattered Channels
130(3)
Examples
133(6)
System Capacity
139(1)
Diversity Order
139(1)
System Bandwidth
140(1)
Effective Degrees of Freedom
141(1)
Review of the Fundamental Limits of MPAs
142(5)
Design of MPAs for MIMO Communication Systems
147(38)
Introduction
147(1)
Mutual Coupling Reduction Using Antenna Diversity
148(4)
Space Diversity
150(1)
Polarization Diversity
151(1)
Pattern Diversity
152(1)
Mutual Coupling Reduction Using DNs
152(2)
Assembled MIMO System Network Model Including DNs
154(5)
Superextended Channel Matrix
154(2)
Separation of the Transmitter and Receiver Side Including DNs
156(3)
Design Criteria of DNs
159(7)
Introduction to Matching Conditions
159(1)
Characteristic Impedance Match
159(1)
Self-Impedance Match
159(1)
Multiport Conjugate Match
160(1)
Optimal Matching Conditions
160(3)
Proof of Optimal Transmission Power Gain
163(2)
Proof of Optimal Capacity
165(1)
Performance Measures in MIMO Communication Systems Including DNs
166(7)
Transmission Power Gain
166(1)
Transmit Matching Efficiency
167(1)
Receive Matching Efficiency
168(1)
Superextended Channel Correlation
169(1)
Superextended Transmit and Receive Antenna Correlation
170(1)
Normalized Far-Field Radiation Patterns at the DN Ports
171(1)
System Bandwidth
171(2)
Decorrelating Networks
173(10)
Lossless DNs
173(1)
Properties of Lossless DNs
173(2)
Decomposition of Lossless Networks
175(1)
Implementation of Decorrelating Lossless Networks
176(2)
Lossless Reciprocal DNs
178(1)
Properties of Lossless and Reciprocal Decorrelating Networks
178(1)
Decomposition of Lossless Reciprocal Networks
179(1)
Implementation of Lossless Reciprocal Decorrelating Networks
180(1)
Proof of Optimal Superextended Antenna Correlation
181(1)
Optimal Superextended Receive Antenna Correlation
181(1)
Optimal Superextended Transmit Antenna Correlation
182(1)
Practical Implementation Aspects of DNs
183(2)
Design Examples and Performance Analysis of Different MPAs
185(42)
Performance Analysis of MPAs
185(1)
Antenna Diversity Design Examples
186(18)
Space Diversity Design
187(1)
Compact Dual-Polarized Antenna Design
188(1)
Pattern Diversity Design Using Beam Forming
189(2)
Pattern Diversity Design Using MMAs
191(1)
Design Example of a Practical Antenna Diversity System
192(12)
Decorrelating Networks Design Examples
204(16)
Takagi Factorization
204(1)
Symmetry Operators
204(2)
The 2 x 1 Linear MEA
206(8)
Three-Element Circular MEA
214(3)
The 2 x 2 Planar MEA
217(3)
Performance Analysis of MPAs Using DNs
220(1)
Performance Prediction of Different MPAs
220(7)
Geometry and Size of an MPA
221(3)
Polarization Sensitivity of an MPA
224(1)
Operating Frequency of an MPA
224(3)
References 227(10)
List of Acronyms 237(2)
List of Symbols 239(6)
Operators and Mathematical Symbols 245(4)
Author Biography 249