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Space-time processing for MIMO communications [[electronic resource] /] / edited by A.B. Gershman, N.D. Sidiropoulos
| Space-time processing for MIMO communications [[electronic resource] /] / edited by A.B. Gershman, N.D. Sidiropoulos |
| Pubbl/distr/stampa | Chichester, : John Wiley, c2005 |
| Descrizione fisica | 1 online resource (389 p.) |
| Disciplina | 621.382 |
| Altri autori (Persone) |
GershmanAlex B
SidiropoulosN. D (Nikos D.) |
| Soggetto topico |
MIMO systems
Space time codes |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-280-27622-3
9786610276226 0-470-01004-5 0-470-01003-7 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Space-Time Processing for MIMO Communications; Contents; List of Contributors; Preface; Acknowledgements; 1 MIMO Wireless Channel Modeling and Experimental Characterization; 1.1 Introduction; 1.1.1 MIMO system model; 1.1.2 Channel normalization; 1.2 MIMO ChannelMeasurement; 1.2.1 Measurement system; 1.2.2 Channel matrix characteristics; 1.2.3 Multipath estimation; 1.3 MIMO ChannelModels; 1.3.1 Random matrix models; 1.3.2 Geometric discrete scattering models; 1.3.3 Statistical cluster models; 1.3.4 Deterministic ray tracing; 1.4 The Impact of Antennas onMIMO Performance
1.4.1 Spatial diversity1.4.2 Pattern (angle and polarization) diversity; 1.4.3 Mutual coupling and receiver network modeling; References; 2 Multidimensional Harmonic Retrieval with Applications in MIMO Wireless Channel Sounding; 2.1 Introduction; 2.2 Harmonic Retrieval DataModel; 2.2.1 2-D harmonic retrieval model; 2.2.2 N-D harmonic retrieval model; 2.2.3 Khatri-Rao product of Vandermonde matrices; 2.3 Identi.ability of Multidimensional Harmonic Retrieval; 2.3.1 Deterministic ID of N-D harmonic retrieval; 2.3.2 Stochastic ID of 2-D harmonic retrieval 2.3.3 Stochastic ID of N-D harmonic retrieval2.4 Multidimensional Harmonic Retrieval Algorithms; 2.4.1 2-DMDF; 2.4.2 N-DMDF; 2.4.3 N-D unitary ESPRIT; 2.4.4 N-DMUSIC; 2.4.5 N-D RARE; 2.4.6 Summary; 2.5 Numerical Examples; 2.5.1 2-D harmonic retrieval (simulated data); 2.5.2 3-D harmonic retrieval (simulated data); 2.6 Multidimensional Harmonic Retrieval for MIMO Channel Estimation; 2.6.1 Parametric channel modeling; 2.6.2 MIMO channel sounding; 2.6.3 Examples of 3-D MDF applied to measurement data; 2.7 Concluding Remarks; References 3 Certain Computations Involving Complex Gaussian Matrices with Applications to the Performance Analysis of MIMO Systems3.1 Introduction; 3.2 Performance Measures of Multiple Antenna Systems; 3.2.1 Noise-limitedMIMO fading channels; 3.2.2 MIMO channels in the presence of cochannel interference; 3.2.3 MIMO beamforming; 3.3 SomeMathematical Preliminaries; 3.4 General Calculations with MIMO Applications; 3.4.1 Main result; 3.4.2 Application to noise-limited MIMO systems; 3.4.3 Applications to MIMO channels in the presence of interference; 3.5 Summary; References 4 Recent Advances in Orthogonal Space-Time Block Coding4.1 Introduction; 4.2 Notations and Acronyms; 4.3 Mathematical Preliminaries; 4.4 MIMO System Model and OSTBC Background; 4.5 Constellation Space Invariance and Equivalent Array-Processing-Type MIMOModel; 4.6 CoherentML Decoding; 4.7 Exact Symbol Error Probability Analysis of Coherent ML Decoder; 4.7.1 Probability of error for a separable input constellation; 4.7.2 Probability of error for a nonseparable input constellation; 4.8 Optimality Properties of OSTBCs 4.8.1 Suf.cient conditions for optimal space-time codes with dimensionconstrained constellations |
| Record Nr. | UNINA-9910143682403321 |
| Chichester, : John Wiley, c2005 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Space-time processing for MIMO communications [[electronic resource] /] / edited by A.B. Gershman, N.D. Sidiropoulos
| Space-time processing for MIMO communications [[electronic resource] /] / edited by A.B. Gershman, N.D. Sidiropoulos |
| Pubbl/distr/stampa | Chichester, : John Wiley, c2005 |
| Descrizione fisica | 1 online resource (389 p.) |
| Disciplina | 621.382 |
| Altri autori (Persone) |
GershmanAlex B
SidiropoulosN. D (Nikos D.) |
| Soggetto topico |
MIMO systems
Space time codes |
| ISBN |
1-280-27622-3
9786610276226 0-470-01004-5 0-470-01003-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Space-Time Processing for MIMO Communications; Contents; List of Contributors; Preface; Acknowledgements; 1 MIMO Wireless Channel Modeling and Experimental Characterization; 1.1 Introduction; 1.1.1 MIMO system model; 1.1.2 Channel normalization; 1.2 MIMO ChannelMeasurement; 1.2.1 Measurement system; 1.2.2 Channel matrix characteristics; 1.2.3 Multipath estimation; 1.3 MIMO ChannelModels; 1.3.1 Random matrix models; 1.3.2 Geometric discrete scattering models; 1.3.3 Statistical cluster models; 1.3.4 Deterministic ray tracing; 1.4 The Impact of Antennas onMIMO Performance
1.4.1 Spatial diversity1.4.2 Pattern (angle and polarization) diversity; 1.4.3 Mutual coupling and receiver network modeling; References; 2 Multidimensional Harmonic Retrieval with Applications in MIMO Wireless Channel Sounding; 2.1 Introduction; 2.2 Harmonic Retrieval DataModel; 2.2.1 2-D harmonic retrieval model; 2.2.2 N-D harmonic retrieval model; 2.2.3 Khatri-Rao product of Vandermonde matrices; 2.3 Identi.ability of Multidimensional Harmonic Retrieval; 2.3.1 Deterministic ID of N-D harmonic retrieval; 2.3.2 Stochastic ID of 2-D harmonic retrieval 2.3.3 Stochastic ID of N-D harmonic retrieval2.4 Multidimensional Harmonic Retrieval Algorithms; 2.4.1 2-DMDF; 2.4.2 N-DMDF; 2.4.3 N-D unitary ESPRIT; 2.4.4 N-DMUSIC; 2.4.5 N-D RARE; 2.4.6 Summary; 2.5 Numerical Examples; 2.5.1 2-D harmonic retrieval (simulated data); 2.5.2 3-D harmonic retrieval (simulated data); 2.6 Multidimensional Harmonic Retrieval for MIMO Channel Estimation; 2.6.1 Parametric channel modeling; 2.6.2 MIMO channel sounding; 2.6.3 Examples of 3-D MDF applied to measurement data; 2.7 Concluding Remarks; References 3 Certain Computations Involving Complex Gaussian Matrices with Applications to the Performance Analysis of MIMO Systems3.1 Introduction; 3.2 Performance Measures of Multiple Antenna Systems; 3.2.1 Noise-limitedMIMO fading channels; 3.2.2 MIMO channels in the presence of cochannel interference; 3.2.3 MIMO beamforming; 3.3 SomeMathematical Preliminaries; 3.4 General Calculations with MIMO Applications; 3.4.1 Main result; 3.4.2 Application to noise-limited MIMO systems; 3.4.3 Applications to MIMO channels in the presence of interference; 3.5 Summary; References 4 Recent Advances in Orthogonal Space-Time Block Coding4.1 Introduction; 4.2 Notations and Acronyms; 4.3 Mathematical Preliminaries; 4.4 MIMO System Model and OSTBC Background; 4.5 Constellation Space Invariance and Equivalent Array-Processing-Type MIMOModel; 4.6 CoherentML Decoding; 4.7 Exact Symbol Error Probability Analysis of Coherent ML Decoder; 4.7.1 Probability of error for a separable input constellation; 4.7.2 Probability of error for a nonseparable input constellation; 4.8 Optimality Properties of OSTBCs 4.8.1 Suf.cient conditions for optimal space-time codes with dimensionconstrained constellations |
| Record Nr. | UNINA-9910830025103321 |
| Chichester, : John Wiley, c2005 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Space-time processing for MIMO communications [[electronic resource] /] / edited by A.B. Gershman, N.D. Sidiropoulos
| Space-time processing for MIMO communications [[electronic resource] /] / edited by A.B. Gershman, N.D. Sidiropoulos |
| Pubbl/distr/stampa | Chichester, : John Wiley, c2005 |
| Descrizione fisica | 1 online resource (389 p.) |
| Disciplina | 621.382 |
| Altri autori (Persone) |
GershmanAlex B
SidiropoulosN. D (Nikos D.) |
| Soggetto topico |
MIMO systems
Space time codes |
| ISBN |
1-280-27622-3
9786610276226 0-470-01004-5 0-470-01003-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Space-Time Processing for MIMO Communications; Contents; List of Contributors; Preface; Acknowledgements; 1 MIMO Wireless Channel Modeling and Experimental Characterization; 1.1 Introduction; 1.1.1 MIMO system model; 1.1.2 Channel normalization; 1.2 MIMO ChannelMeasurement; 1.2.1 Measurement system; 1.2.2 Channel matrix characteristics; 1.2.3 Multipath estimation; 1.3 MIMO ChannelModels; 1.3.1 Random matrix models; 1.3.2 Geometric discrete scattering models; 1.3.3 Statistical cluster models; 1.3.4 Deterministic ray tracing; 1.4 The Impact of Antennas onMIMO Performance
1.4.1 Spatial diversity1.4.2 Pattern (angle and polarization) diversity; 1.4.3 Mutual coupling and receiver network modeling; References; 2 Multidimensional Harmonic Retrieval with Applications in MIMO Wireless Channel Sounding; 2.1 Introduction; 2.2 Harmonic Retrieval DataModel; 2.2.1 2-D harmonic retrieval model; 2.2.2 N-D harmonic retrieval model; 2.2.3 Khatri-Rao product of Vandermonde matrices; 2.3 Identi.ability of Multidimensional Harmonic Retrieval; 2.3.1 Deterministic ID of N-D harmonic retrieval; 2.3.2 Stochastic ID of 2-D harmonic retrieval 2.3.3 Stochastic ID of N-D harmonic retrieval2.4 Multidimensional Harmonic Retrieval Algorithms; 2.4.1 2-DMDF; 2.4.2 N-DMDF; 2.4.3 N-D unitary ESPRIT; 2.4.4 N-DMUSIC; 2.4.5 N-D RARE; 2.4.6 Summary; 2.5 Numerical Examples; 2.5.1 2-D harmonic retrieval (simulated data); 2.5.2 3-D harmonic retrieval (simulated data); 2.6 Multidimensional Harmonic Retrieval for MIMO Channel Estimation; 2.6.1 Parametric channel modeling; 2.6.2 MIMO channel sounding; 2.6.3 Examples of 3-D MDF applied to measurement data; 2.7 Concluding Remarks; References 3 Certain Computations Involving Complex Gaussian Matrices with Applications to the Performance Analysis of MIMO Systems3.1 Introduction; 3.2 Performance Measures of Multiple Antenna Systems; 3.2.1 Noise-limitedMIMO fading channels; 3.2.2 MIMO channels in the presence of cochannel interference; 3.2.3 MIMO beamforming; 3.3 SomeMathematical Preliminaries; 3.4 General Calculations with MIMO Applications; 3.4.1 Main result; 3.4.2 Application to noise-limited MIMO systems; 3.4.3 Applications to MIMO channels in the presence of interference; 3.5 Summary; References 4 Recent Advances in Orthogonal Space-Time Block Coding4.1 Introduction; 4.2 Notations and Acronyms; 4.3 Mathematical Preliminaries; 4.4 MIMO System Model and OSTBC Background; 4.5 Constellation Space Invariance and Equivalent Array-Processing-Type MIMOModel; 4.6 CoherentML Decoding; 4.7 Exact Symbol Error Probability Analysis of Coherent ML Decoder; 4.7.1 Probability of error for a separable input constellation; 4.7.2 Probability of error for a nonseparable input constellation; 4.8 Optimality Properties of OSTBCs 4.8.1 Suf.cient conditions for optimal space-time codes with dimensionconstrained constellations |
| Record Nr. | UNINA-9910841632403321 |
| Chichester, : John Wiley, c2005 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||