Pubbl/distr/stampa	[Piscataway, N.J.] : , : [IEEE]
Disciplina	621.3822
Soggetto topico	Signal processing Wireless communication systems MIMO systems
Soggetto genere / forma	Conference papers and proceedings.
ISSN	2643-8615
Formato	Materiale a stampa
Livello bibliografico	Periodico
Lingua di pubblicazione	eng
Altri titoli varianti	ISPCC Proceedings of IEEE International Conference on Signal Processing, Computing and Control Signal Processing, Computing and Control (ISPCC), ... IEEE International Conference on
Record Nr.	UNINA-9910626008203321

Pubbl/distr/stampa	Piscataway, New Jersey : , : Institute of Electrical and Electronics Engineers, , 2019
Descrizione fisica	1 online resource (970 pages)
Disciplina	621.3824
Soggetto topico	Antennas (Electronics) MIMO systems
ISBN	1-7281-1309-1
Formato	Materiale a stampa
Livello bibliografico	Monografia
Lingua di pubblicazione	eng
Record Nr.	UNINA-9910321860403321

Autore	Liu Leibo
Pubbl/distr/stampa	Beijing ; ; Singapore : , : Science Press : , : Springer, , 2019
Descrizione fisica	1 online resource (XVI, 336 p. 186 illus., 120 illus. in color.)
Disciplina	004
Soggetto topico	MIMO systems
ISBN	981-13-6362-5
Formato	Materiale a stampa
Livello bibliografico	Monografia
Lingua di pubblicazione	eng
Nota di contenuto	Chapter 1 Introduction -- Chapter 2 Linear Massive MIMO Detection Algorithm -- Chapter 3 Architecture of Linear Massive MIMO Detection -- Chapter 4 Nonlinear Massive MIMO Signal Detection Algorithm -- Chapter 5 Hardware Architecture for Nonlinear Massive MIMO Detection -- Chapter 6 Dynamic Reconfigurable Chips for Massive MIMO Detection -- Chapter 7 Prospect of the VLSI Architecture for Massive MIMO Detection.
Record Nr.	UNINA-9910350232503321

Pubbl/distr/stampa	Hoboken, New Jersey : , : J. Wiley & Sons, , c2009
Descrizione fisica	1 online resource (468 p.)
Disciplina	621.3848
Altri autori (Persone)	StoicaPetre LiJian, Ph. D., <1965>
Soggetto topico	Radar MIMO systems
ISBN	1-281-93763-0 9786611937638 0-470-39148-0 0-470-39143-X
Classificazione	ELT 733f ZN 6500
Formato	Materiale a stampa
Livello bibliografico	Monografia
Lingua di pubblicazione	eng
Nota di contenuto	PREFACE -- CONTRIBUTORS -- 1 MIMO Radar - Diversity Means Superiority (Jian Li and Petre Stoica) -- 1.1 Introduction -- 1.2 Problem Formulation -- 1.3 Parameter Identifiability -- 1.4 Nonparametric Adaptive Techniques for Parameter Estimation -- 1.5 Parametric Techniques for Parameter Estimation -- 1.6 Transmit Beampattern Designs -- 1.7 Conclusions -- Appendix IA Generalized Likelihood Ratio Test -- Appendix 1B Lemma and Proof -- Acknowledgments -- References -- 2 MIMO Radar: Concepts, Performance Enhancements, and Applications (Keith W. Forsythe and Daniel W. Bliss) -- 2.1 Introduction -- 2.2 Notation -- 2.3 MIMO Radar Virtual Aperture -- 2.4 MIMO Radar in Clutter-Free Environments -- 2.5 Optimality of MIMO Radar for Detection -- 2.6 MIMO Radar with Moving Targets in Clutter: GMTI Radars -- 2.7 Summary -- Appendix 2A A Localization Principle -- Appendix 2B Bounds on R(N) -- Appendix 2C An Operator Norm Inequality -- Appendix 2D Negligible Terms -- Appendix 2E Bound on Eigenvalues -- Appendix 2F Some Inner Products -- Appendix 2G An Invariant Inner Product -- Appendix 2H Kroinecker and Tensor Products -- Acknowledgments -- References -- 3 Generalized MIMO Radar Ambiguity Functions (Geoffrey San Antonio, Daniel R. Fuhrmann, and Frank C. Robey) -- 3.1 Introduction -- 3.2 Background -- 3.3 MIMO Signal Model -- 3.4 MIMO Parametric Channel Model -- 3.5 MIMO Ambiguity Function -- 3.6 Results and Examples -- 3.7 Conclusion -- References -- 4 Performance Bounds and Techniques for Target Localization Using MIMO Radars (Joseph Tabrikian) -- 4.1 Introduction -- 4.2 Problem Formulation -- 4.3 Properties -- 4.4 Target Localization -- 4.5 Performance Lower Bound for Target Localization -- 4.6 Simulation Results -- 4.7 Discussion and Conclusions -- Appendix 4A Log-Likelihood Derivation -- Appendix 4B Transmit/Receive Pattern Derivation -- Appendix 4C Fisher Information Matrix Derivation -- References -- 5 Adaptive Signal Design For MIMO Radars (Benjamin Friedlander) 5.1 Introduction -- 5.2 Problem Formulation -- 5.3 Estimation -- 5.4 Detection -- 5.5 MIMO Radar and Phased Arrays -- Appendix 5A Theoretical SINR Calculation -- References -- 6 MIMO Radar Spacetime Adaptive Processing and Signal Design(Chun-Yang Chen and P. P. Vaidyanathan) -- 6.1 Introduction -- 6.2 The Virtual Array Concept -- 6.3 Spacetime Adaptive Processing in MIMO Radar -- 6.4 Clutter Subspace in MIMO Radar -- 6.5 New STAP Method for MIMO Radar -- 6.6 Numerical Examples -- 6.7 Signal Design of the STAP Radar System -- 6.8 Conclusions -- Acknowledgments -- References -- 7 Slow-Time MIMO SpaceTime Adaptive Processing(Vito F. Mecca, Dinesh Ramakrishnan, Frank C. Robey, and Jeffrey L. Krolik) -- 7.1 Introduction -- 7.2 SIMO Radar Modeling and Processing -- 7.3 Slow-Time MIMO Radar Modeling -- 7.4 Slow-Time MIMO Radar Processing -- 7.5 OTHr Propagation and Clutter Model -- 7.6 Simulations Examples -- 7.7 Conclusion -- Acknowledgment -- References -- 8 MIMO as a Distributed Radar System(H. D. Griffiths, C. J. Baker, P. F. Sammartino, and M. Rangaswamy) -- 8.1 Introduction -- 8.2 Systems -- 8.3 Performance -- 8.4 Conclusions -- Acknowledgment -- References -- 9 Concepts and Applications of A MIMO Radar System with Widely Separated Antennas(Hana Godrich, Alexander M. Haimovich, and Rick S. Blum) -- 9.1 Background -- 9.2 MIMO Radar Concept -- 9.3 NonCoherent MIMO Radar Applications -- 9.4 Coherent MIMO Radar Applications -- 9.5 Chapter Summary -- Appendix 9A Deriving the FIM -- Appendix 9B Deriving the CRLB on the Location Estimate Error -- Appendix 9C MLE of Time Delays -- Error Statistics -- Appendix 9D Deriving the Lowest GDOP for Special Cases -- Acknowledgments -- References -- 10 SpaceTime Coding for MIMO Radar(Antonio De Maio and Marco Lops) -- 10.1 Introduction -- 10.2 System Model -- 10.3 Detection In MIMO Radars -- 10.4 Spacetime Code Design -- 10.5 The Interplay Between STC and Detection Performance 10.6 Numerical Results -- 10.7 Adaptive Implementation -- 10.8 Conclusions -- Acknowledgment -- References -- INDEX
Record Nr.	UNINA-9910144090203321

Autore	Oestges Claude
Edizione	[1st ed.]
Pubbl/distr/stampa	Amsterdam ; ; Boston ; ; London, : Academic Press, 2007
Descrizione fisica	1 online resource (477 p.)
Disciplina	621.384
Altri autori (Persone)	ClerckxBruno
Soggetto topico	MIMO systems Wireless communication systems
Soggetto genere / forma	Electronic books.
ISBN	1-281-01992-5 9786611019921 0-08-054998-5
Formato	Materiale a stampa
Livello bibliografico	Monografia
Lingua di pubblicazione	eng
Nota di contenuto	Front Cover; MIMO Wireless Communications; Copyright Page; Contents; List of Figures; List of Tables; Preface; List of Abbreviations; List of Symbols; About the Authors; Chapter 1 Introduction to multi-antenna communications; 1.1 Brief history of array processing; 1.2 Space-time wireless channels for multi-antenna systems; 1.3 Exploiting multiple antennas in wireless systems; 1.3.1 Diversity techniques; 1.3.2 Multiplexing capability; 1.4 Single-input multiple-output systems; 1.4.1 Receive diversity via selection combining; 1.4.2 Receive diversity via gain combining 1.4.3 Receive diversity via hybrid selection/gain combining1.5 Multiple-input single-output systems; 1.5.1 Switched multibeam antennas; 1.5.2 Transmit diversity via matched beamforming; 1.5.3 Null-steering and optimal beamforming; 1.5.4 Transmit diversity via space-time coding; 1.5.5 Indirect transmit diversity; 1.6 Multiple-input multiple-output systems; 1.6.1 MIMO with perfect transmit channel knowledge; 1.6.2 MIMO without transmit channel knowledge; 1.6.3 MIMO with partial transmit channel knowledge; 1.7 Multiple antenna techniques in commercial wireless systems Chapter 2 Physical MIMO channel modeling2.1 Multidimensional channel modeling; 2.1.1 The double-directional channel impulse response; 2.1.2 Multidimensional correlation functions and stationarity; 2.1.3 Channel fading, K-factor and Doppler spectrum; 2.1.4 Power delay and direction spectra; 2.1.5 From double-directional propagation to MIMO channels; 2.1.6 Statistical properties of the channel matrix; 2.1.7 Discrete channel modeling: sampling theorem revisited; 2.1.8 Physical versus analytical models; 2.2 Electromagnetic models; 2.2.1 Ray-based deterministic methods 2.2.2 Multi-polarized channels2.3 Geometry-based models; 2.3.1 One-ring model; 2.3.2 Two-ring model; 2.3.3 Combined elliptical-ring model; 2.3.4 Elliptical and circular models; 2.3.5 Extension of geometry-based models to dual-polarized channels; 2.4 Empirical models; 2.4.1 Extended Saleh-Valenzuela model; 2.4.2 Stanford University Interim channel models; 2.4.3 COST models; 2.5 Standardized models; 2.5.1 IEEE 802.11 TGn models; 2.5.2 IEEE 802.16d/e models; 2.5.3 3GPP/3GPP2 spatial channel models; 2.6 Antennas in MIMO systems; 2.6.1 About antenna arrays; 2.6.2 Mutual coupling Chapter 3 Analytical MIMO channel representations for system design3.1 General representations of correlated MIMO channels; 3.1.1 Rayleigh fading channels; 3.1.2 Ricean fading channels; 3.1.3 Dual-polarized channels; 3.1.4 Double-Rayleigh fading model for keyhole channels; 3.2 Simplified representations of Gaussian MIMO channels; 3.2.1 The Kronecker model; 3.2.2 Virtual channel representation; 3.2.3 The eigenbeam model; 3.3 Propagation-motivated MIMO metrics; 3.3.1 Comparing models and correlation matrices; 3.3.2 Characterizing the multipath richness 3.3.3 Measuring the non-stationarity of MIMO channels
Record Nr.	UNINA-9910458581603321