000 07493nam a2200517 i 4500
001 8039845
003 IEEE
005 20191218152130.0
006 m o d
007 cr |n|||||||||
008 171024s2008 maua ob 001 eng d
010 _z 2009052165 (print)
020 _a9780470590676
_qelectronic
020 _z9780470399835
_qcloth
024 7 _a10.1002/9780470590676
_2doi
035 _a(CaBNVSL)mat08039845
035 _a(IDAMS)0b00006485f0dcda
040 _aCaBNVSL
_beng
_erda
_cCaBNVSL
_dCaBNVSL
050 4 _aTK5103.2
_b.C675 2010eb
082 0 0 _a621.382
_222
100 1 _aCosta, Nelson,
_d1975-
245 1 0 _aMultiple-input multiple-output channel models :
_btheory and practice /
_cNelson Costa, Simon Haykin.
264 1 _aHoboken, New Jersey :
_bWiley,
_cc2010.
264 2 _a[Piscataqay, New Jersey] :
_bIEEE Xplore,
_c[2010]
300 _a1 PDF (xv, 225 pages) :
_billustrations (some color).
336 _atext
_2rdacontent
337 _aelectronic
_2isbdmedia
338 _aonline resource
_2rdacarrier
490 1 _aAdaptive and cognitive dynamic systems: signal processing, learning, communications and control ;
_v65
504 _aIncludes bibliographical references (p. 211-219) and index.
505 0 _aPreface -- Chapter 1: Introduction -- 1.1 Historical Perspective -- 1.1.1 Electromagnetism -- 1.1.2 The Hertz Transmitter -- 1.1.3 Tesla and Wireless Power -- 1.1.4 Lodge and Tunable Circuits -- 1.1.5 Marconi and Trans-Atlantic Communication -- 1.2 MIMO Communications -- 1.3 MIMO Channel Models -- 1.3.1 The Channel Model Spectrum -- 1.3.2 Wideband MIMO Channel Models -- 1.4 Software Defined Radio -- 1.5 Overview -- 1.5.1 Chapter 2: Multiple Antenna Channels and Correlation -- 1.5.2 Chapter 3: Correlative Models -- 1.5.3 Chapter 4: Cluster Models -- 1.5.4 Chapter 5: Channel Sounding -- 1.5.5 Chapter 6: Experimental Validation -- 1.5.6 Appendices: Background and Definitions -- Chapter 2: Multiple Antenna Channels and Correlation -- 2.1 The Radio Channel: Definitions -- 2.1.1 The Physical Channel -- 2.1.2 The Analytical Channel -- 2.2 Channel Classifications -- 2.2.1 Linear Time-Invariant Channels -- 2.2.2 Time-Invariant Narrowband Channels -- 2.2.3 Time-Varying Wideband Channels and Bello's Model -- 2.2.4 The Tapped-Delay Line Model and the Physical Channel -- 2.2.5 Narrowband Diversity Channels -- 2.2.6 The Narrowband MIMO Channel -- 2.2.7 The Wideband MIMO Channel -- 2.2.8 The Wideband MIMO Channel Recast Using Tensors -- 2.3 Summary of Channel Classifications -- 2.4 Second-Order Statistics of Multiple Antenna Channels -- 2.4.1 Second-Order Statistics of the Vector Channel -- 2.4.2 Second-Order Statistics of the Narrowband MIMO Channel -- 2.5 Second-order Statistics of the Wideband MIMO Channel -- 2.5.1 Eigenvalue Decomposition of the Wideband Correlation Matrix -- 2.6 Spatial Structure of Multiple Antenna Channels -- 2.6.1 SIMO Channels and Beamformers -- 2.6.2 MIMO Beamformers -- 2.7 Summary and Discussion -- 2.7.1 Channel Classifications -- 2.7.2 Multi-Antenna Channels -- 2.7.3 Spatial Structure and the APS -- 2.8 Notes and References -- 2.8.1 Channel Classifications -- 2.8.2 Second-Order Statistics of Multi-Antenna Channels -- 2.8.3 The Spatial Structure of Multi-Antenna Channels.
505 8 _aChapter 3: Correlative Models -- 3.1 Vector Channel Synthesis from the Vector Correlation Matrix -- 3.2 Matrix Channel Synthesis from the Narrowband Correlation Matrix -- 3.2.1 Number of Model Parameters -- 3.3 One-Sided Correlation for Narrowband MIMO Channels -- 3.4 The Kronecker Model -- 3.4.1 The Narrowband Kronecker Model -- 3.4.2 The Wideband Kronecker Model -- 3.4.3 Notes on the Narrowband and Wideband Kronecker Models -- 3.5 The Weichselberger Model -- 3.5.1 The Vector Mode Model -- 3.5.2 H-matrix From Structured Vector Modes -- 3.6 The Structured Model -- 3.6.1 H-Tensor Synthesis from the Wideband Correlation Tensor -- 3.6.2 One-Sided Correlation for Wideband MIMO Channels. -- 3.6.3 Approximating the Wideband Correlation Matrix -- 3.6.4 Number of Parameters Comparison -- 3.7 Summary and Discussion -- 3.7.1 The Kronecker Model -- 3.7.2 The Weichselberger Model -- 3.7.3 The Structured Model -- 3.8 Notes and References -- 3.8.1 Correlative Models -- 3.8.2 Tensor Decomposition -- Chapter 4: Cluster Models -- 4.1 What is a Cluster? -- 4.2 The Saleh-Valenzuela Model -- 4.2.1 Model Summary -- 4.2.2 Model Implementation -- 4.2.3 Some Typical Parameters -- 4.3 Clusters in Time and Space -- 4.3.1 Azimuth, Elevation, and Delay Spreads -- 4.4 The Extended Saleh-Valenzuela Model -- 4.5 The COST 273 Model -- 4.5.1 Generic Channel Model -- 4.5.2 Environments -- 4.5.3 Receiver, Transmitter Placement -- 4.5.4 COST 273 Procedure -- 4.5.5 Features Not Yet Implemented and Omissions -- 4.5.6 Advantages/Disadvantages: COST 273 -- 4.6 The Random Cluster Model (RCM) -- 4.6.1 General Description -- 4.6.2 Determining the Environment PDF -- 4.6.3 Advantages/Disadvantages: The RCM -- 4.7 Summary and Discussion -- 4.8 Notes and References -- Chapter 5: Channel Sounding -- 5.1 Introduction -- 5.2 The WMSDR -- 5.2.1 Transmission -- 5.2.2 Reception -- 5.2.3 Timing and Carrier Offsets -- 5.3 Narrowband Channel Sounding -- 5.3.1 Periodic Pulse Sounding -- 5.3.2 Narrowband Single-Input, Single-Output Channel Sounding.
505 8 _a5.3.3 Narrowband MIMO Channel Sounding -- 5.4 Wideband Sounding: Correlative Sounding -- 5.4.1 ML-sequences -- 5.4.2 Cross-Correlation Using the FFT -- 5.4.3 Digital Matched Filters -- 5.5 Wideband Sounding: Sampled Spectrum Channel Sounding -- 5.6 Switched-array Architectures -- 5.7 Timing and Carrier Recovery -- 5.7.1 Digital Timing Recovery Methods -- 5.7.2 Phase Recovery Using a Decision Directed Feedback Loop -- 5.8 Summary and Discussion -- 5.9 Notes and References -- Chapter 6: Experimental Verifications -- 6.1 Validation Metrics -- 6.1.1 Channel Capacity -- 6.1.2 The Diversity and Correlation Metrics -- 6.1.3 The Demmel Condition Number -- 6.1.4 The Environmental Characterization Metric -- 6.1.5 Correlation Matrix Difference Metric -- 6.2 WMSDR Experimental Setup -- 6.2.1 Terminology -- 6.2.2 Measurement Description -- 6.3 BYU Wideband Channel Sounder Experimental Setup -- 6.3.1 BYU Transmitter Set -- 6.3.2 BYU Receiver Set -- 6.3.3 Measurement Description -- 6.4 Experimental Results -- 6.4.1 Capacity Measure: Methodology -- 6.4.2 Results: MIMO APS and Spatial Structure -- 6.4.3 Results: Wideband Correlation Matrices -- 6.5 Discussion -- 6.5.1 Accuracy of the Results -- 6.5.2 Sources of Error -- 6.6 Summary and Discussion -- 6.7 Notes and References -- Appendix A: An Introduction to Tensor Algebra -- Appendix B: Proof of Theorems from Chapter 3 -- Appendix C: COST 273 Model Summary -- Glossary -- Bibliography -- Index.
506 _aRestricted to subscribers or individual electronic text purchasers.
530 _aAlso available in print.
538 _aMode of access: World Wide Web
588 _aDescription based on PDF viewed 10/24/2017.
650 0 _aMIMO systems.
655 0 _aElectronic books.
700 1 _aHaykin, Simon S.,
_d1931-
710 2 _aIEEE Xplore (Online Service),
_edistributor.
710 2 _aWiley,
_epublisher.
776 0 8 _iPrint version:
_z9780470399835
830 0 _aAdaptive and cognitive dynamic systems: signal processing, learning, communications and control ;
_v65
856 4 2 _3Abstract with links to resource
_uhttps://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=8039845
999 _c42801
_d42801