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MIMO radar signal processing / / edited by Jian Li, Petre Stoica
| MIMO radar signal processing / / edited by Jian Li, Petre Stoica |
| 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 |
| Hoboken, New Jersey : , : J. Wiley & Sons, , c2009 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
MIMO radar signal processing / / edited by Jian Li, Petre Stoica
| MIMO radar signal processing / / edited by Jian Li, Petre Stoica |
| 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-9910830301703321 |
| Hoboken, New Jersey : , : J. Wiley & Sons, , c2009 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
MIMO radar signal processing / / edited by Jian Li, Petre Stoica
| MIMO radar signal processing / / edited by Jian Li, Petre Stoica |
| Pubbl/distr/stampa | Hoboken, NJ, : J. Wiley & Sons, c2009 |
| Descrizione fisica | 1 online resource (468 p.) |
| Disciplina | 621.3848 |
| Altri autori (Persone) |
LiJian <1965 April 17->
StoicaPetre |
| Soggetto topico |
Radar
MIMO systems |
| ISBN |
9786611937638
9781281937636 1281937630 9780470391488 0470391480 9780470391433 047039143X |
| 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-9911019772203321 |
| Hoboken, NJ, : J. Wiley & Sons, c2009 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Robust adaptive beamforming [[electronic resource] /] / edited by Jian Li and Petre Stoica
| Robust adaptive beamforming [[electronic resource] /] / edited by Jian Li and Petre Stoica |
| Pubbl/distr/stampa | Hoboken, NJ, : John Wiley, 2006 |
| Descrizione fisica | 1 online resource (436 p.) |
| Disciplina |
621.382/4
621.3824 |
| Altri autori (Persone) |
LiJian
StoicaPetre |
| Collana | Wiley Series in Telecommunications and Signal Processing |
| Soggetto topico |
Beamforming
Adaptive antennas Antenna radiation patterns |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-280-27762-9
9786610277629 0-470-36185-9 0-471-73348-2 0-471-73346-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Robust Adaptive Beamforming; CONTENTS; Contributors; Preface; 1 Robust Minimum Variance Beamforming; 1.1 Introduction; 1.2 A Practical Example; 1.3 Robust Weight Selection; 1.4 A Numerical Example; 1.5 Ellipsoidal Modeling; 1.6 Uncertainty Ellipsoid Calculus; 1.7 Beamforming Example with Multiplicative Uncertainties; 1.8 Summary; Appendix: Notation and Glossary; References; 2 Robust Adaptive Beamforming Based on Worst-Case Performance Optimization; 2.1 Introduction; 2.2 Background and Traditional Approaches; 2.3 Robust Minimum Variance Beamforming Based on Worst-Case Performance Optimization
2.4 Numerical Examples2.5 Conclusions; Appendix 2.A: Proof of Lemma 1; Appendix 2.B: Proof of Lemma 2; Appendix 2.C: Proof of Lemma 3; Appendix 2.D: Proof of Lemma 4; Appendix 2.E: Proof of Lemma 5; References; 3 Robust Capon Beamforming; 3.1 Introduction; 3.2 Problem Formulation; 3.3 Standard Capon Beamforming; 3.4 Robust Capon Beamforming with Single Constraint; 3.5 Capon Beamforming with Norm Constraint; 3.6 Robust Capon Beamforming with Double Constraints; 3.7 Robust Capon Beamforming with Constant Beamwidth and Constant Powerwidth 3.8 Rank-Deficient Robust Capon Filter-Bank Spectral Estimator3.9 Adaptive Imaging for Forward-Looking Ground Penetrating Radar; 3.10 Summary; Acknowledgments; Appendix 3.A: Relationship between RCB and the Approach in [14]; Appendix 3.B: Calculating the Steering Vector; Appendix 3.C: Relationship between RCB and the Approach in [15]; Appendix 3.D: Analysis of Equation (3.72); Appendix 3.E: Rank-Deficient Capon Beamformer; Appendix 3.F: Conjugate Symmetry of the Forward-Backward FIR; Appendix 3.G: Formulations of NCCF and HDI; Appendix 3.H: Notations and Abbreviations; References 4 Diagonal Loading for Finite Sample Size Beamforming: An Asymptotic Approach4.1 Introduction and Historical Review; 4.2 Asymptotic Output SINR with Diagonal Loading; 4.3 Estimating the Asymptotically Optimum Loading Factor; 4.4 Characterization of the Asymptotically Optimum Loading Factor; 4.5 Summary and Conclusions; Acknowledgments; Appendix 4.A: Proof of Proposition 1; Appendix 4.B: Proof of Lemma 1; Appendix 4.C: Derivation of the Consistent Estimator; Appendix 4.D: Proof of Proposition 2; References; 5 Mean-Squared Error Beamforming for Signal Estimation: A Competitive Approach 5.1 Introduction5.2 Background and Problem Formulation; 5.3 Minimax MSE Beamforming for Known Steering Vector; 5.4 Random Steering Vector; 5.5 Practical Considerations; 5.6 Numerical Examples; 5.7 Summary; Acknowledgments; References; 6 Constant Modulus Beamforming; 6.1 Introduction; 6.2 The Constant Modulus Algorithm; 6.3 Prewhitening and Rank Reduction; 6.4 Multiuser CMA Techniques; 6.5 The Analytical CMA; 6.6 Adaptive Prewhitening; 6.7 Adaptive ACMA; 6.8 DOA Assisted Beamforming of Constant Modulus Signals; 6.9 Concluding Remarks; Acknowledgment; References; 7 Robust Wideband Beamforming 7.1 Introduction |
| Record Nr. | UNINA-9910143579603321 |
| Hoboken, NJ, : John Wiley, 2006 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Robust adaptive beamforming [[electronic resource] /] / edited by Jian Li and Petre Stoica
| Robust adaptive beamforming [[electronic resource] /] / edited by Jian Li and Petre Stoica |
| Pubbl/distr/stampa | Hoboken, NJ, : John Wiley, 2006 |
| Descrizione fisica | 1 online resource (436 p.) |
| Disciplina |
621.382/4
621.3824 |
| Altri autori (Persone) |
LiJian
StoicaPetre |
| Collana | Wiley Series in Telecommunications and Signal Processing |
| Soggetto topico |
Beamforming
Adaptive antennas Antenna radiation patterns |
| ISBN |
1-280-27762-9
9786610277629 0-470-36185-9 0-471-73348-2 0-471-73346-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Robust Adaptive Beamforming; CONTENTS; Contributors; Preface; 1 Robust Minimum Variance Beamforming; 1.1 Introduction; 1.2 A Practical Example; 1.3 Robust Weight Selection; 1.4 A Numerical Example; 1.5 Ellipsoidal Modeling; 1.6 Uncertainty Ellipsoid Calculus; 1.7 Beamforming Example with Multiplicative Uncertainties; 1.8 Summary; Appendix: Notation and Glossary; References; 2 Robust Adaptive Beamforming Based on Worst-Case Performance Optimization; 2.1 Introduction; 2.2 Background and Traditional Approaches; 2.3 Robust Minimum Variance Beamforming Based on Worst-Case Performance Optimization
2.4 Numerical Examples2.5 Conclusions; Appendix 2.A: Proof of Lemma 1; Appendix 2.B: Proof of Lemma 2; Appendix 2.C: Proof of Lemma 3; Appendix 2.D: Proof of Lemma 4; Appendix 2.E: Proof of Lemma 5; References; 3 Robust Capon Beamforming; 3.1 Introduction; 3.2 Problem Formulation; 3.3 Standard Capon Beamforming; 3.4 Robust Capon Beamforming with Single Constraint; 3.5 Capon Beamforming with Norm Constraint; 3.6 Robust Capon Beamforming with Double Constraints; 3.7 Robust Capon Beamforming with Constant Beamwidth and Constant Powerwidth 3.8 Rank-Deficient Robust Capon Filter-Bank Spectral Estimator3.9 Adaptive Imaging for Forward-Looking Ground Penetrating Radar; 3.10 Summary; Acknowledgments; Appendix 3.A: Relationship between RCB and the Approach in [14]; Appendix 3.B: Calculating the Steering Vector; Appendix 3.C: Relationship between RCB and the Approach in [15]; Appendix 3.D: Analysis of Equation (3.72); Appendix 3.E: Rank-Deficient Capon Beamformer; Appendix 3.F: Conjugate Symmetry of the Forward-Backward FIR; Appendix 3.G: Formulations of NCCF and HDI; Appendix 3.H: Notations and Abbreviations; References 4 Diagonal Loading for Finite Sample Size Beamforming: An Asymptotic Approach4.1 Introduction and Historical Review; 4.2 Asymptotic Output SINR with Diagonal Loading; 4.3 Estimating the Asymptotically Optimum Loading Factor; 4.4 Characterization of the Asymptotically Optimum Loading Factor; 4.5 Summary and Conclusions; Acknowledgments; Appendix 4.A: Proof of Proposition 1; Appendix 4.B: Proof of Lemma 1; Appendix 4.C: Derivation of the Consistent Estimator; Appendix 4.D: Proof of Proposition 2; References; 5 Mean-Squared Error Beamforming for Signal Estimation: A Competitive Approach 5.1 Introduction5.2 Background and Problem Formulation; 5.3 Minimax MSE Beamforming for Known Steering Vector; 5.4 Random Steering Vector; 5.5 Practical Considerations; 5.6 Numerical Examples; 5.7 Summary; Acknowledgments; References; 6 Constant Modulus Beamforming; 6.1 Introduction; 6.2 The Constant Modulus Algorithm; 6.3 Prewhitening and Rank Reduction; 6.4 Multiuser CMA Techniques; 6.5 The Analytical CMA; 6.6 Adaptive Prewhitening; 6.7 Adaptive ACMA; 6.8 DOA Assisted Beamforming of Constant Modulus Signals; 6.9 Concluding Remarks; Acknowledgment; References; 7 Robust Wideband Beamforming 7.1 Introduction |
| Record Nr. | UNINA-9910829830203321 |
| Hoboken, NJ, : John Wiley, 2006 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Robust adaptive beamforming / / edited by Jian Li and Petre Stoica
| Robust adaptive beamforming / / edited by Jian Li and Petre Stoica |
| Pubbl/distr/stampa | Hoboken, NJ, : John Wiley, 2006 |
| Descrizione fisica | 1 online resource (436 p.) |
| Disciplina | 621.382/4 |
| Altri autori (Persone) |
LiJian
StoicaPetre |
| Collana | Wiley Series in Telecommunications and Signal Processing |
| Soggetto topico |
Beamforming
Adaptive antennas Antenna radiation patterns |
| ISBN |
9786610277629
9781280277627 1280277629 9780470361856 0470361859 9780471733485 0471733482 9780471733461 0471733466 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Robust Adaptive Beamforming; CONTENTS; Contributors; Preface; 1 Robust Minimum Variance Beamforming; 1.1 Introduction; 1.2 A Practical Example; 1.3 Robust Weight Selection; 1.4 A Numerical Example; 1.5 Ellipsoidal Modeling; 1.6 Uncertainty Ellipsoid Calculus; 1.7 Beamforming Example with Multiplicative Uncertainties; 1.8 Summary; Appendix: Notation and Glossary; References; 2 Robust Adaptive Beamforming Based on Worst-Case Performance Optimization; 2.1 Introduction; 2.2 Background and Traditional Approaches; 2.3 Robust Minimum Variance Beamforming Based on Worst-Case Performance Optimization
2.4 Numerical Examples2.5 Conclusions; Appendix 2.A: Proof of Lemma 1; Appendix 2.B: Proof of Lemma 2; Appendix 2.C: Proof of Lemma 3; Appendix 2.D: Proof of Lemma 4; Appendix 2.E: Proof of Lemma 5; References; 3 Robust Capon Beamforming; 3.1 Introduction; 3.2 Problem Formulation; 3.3 Standard Capon Beamforming; 3.4 Robust Capon Beamforming with Single Constraint; 3.5 Capon Beamforming with Norm Constraint; 3.6 Robust Capon Beamforming with Double Constraints; 3.7 Robust Capon Beamforming with Constant Beamwidth and Constant Powerwidth 3.8 Rank-Deficient Robust Capon Filter-Bank Spectral Estimator3.9 Adaptive Imaging for Forward-Looking Ground Penetrating Radar; 3.10 Summary; Acknowledgments; Appendix 3.A: Relationship between RCB and the Approach in [14]; Appendix 3.B: Calculating the Steering Vector; Appendix 3.C: Relationship between RCB and the Approach in [15]; Appendix 3.D: Analysis of Equation (3.72); Appendix 3.E: Rank-Deficient Capon Beamformer; Appendix 3.F: Conjugate Symmetry of the Forward-Backward FIR; Appendix 3.G: Formulations of NCCF and HDI; Appendix 3.H: Notations and Abbreviations; References 4 Diagonal Loading for Finite Sample Size Beamforming: An Asymptotic Approach4.1 Introduction and Historical Review; 4.2 Asymptotic Output SINR with Diagonal Loading; 4.3 Estimating the Asymptotically Optimum Loading Factor; 4.4 Characterization of the Asymptotically Optimum Loading Factor; 4.5 Summary and Conclusions; Acknowledgments; Appendix 4.A: Proof of Proposition 1; Appendix 4.B: Proof of Lemma 1; Appendix 4.C: Derivation of the Consistent Estimator; Appendix 4.D: Proof of Proposition 2; References; 5 Mean-Squared Error Beamforming for Signal Estimation: A Competitive Approach 5.1 Introduction5.2 Background and Problem Formulation; 5.3 Minimax MSE Beamforming for Known Steering Vector; 5.4 Random Steering Vector; 5.5 Practical Considerations; 5.6 Numerical Examples; 5.7 Summary; Acknowledgments; References; 6 Constant Modulus Beamforming; 6.1 Introduction; 6.2 The Constant Modulus Algorithm; 6.3 Prewhitening and Rank Reduction; 6.4 Multiuser CMA Techniques; 6.5 The Analytical CMA; 6.6 Adaptive Prewhitening; 6.7 Adaptive ACMA; 6.8 DOA Assisted Beamforming of Constant Modulus Signals; 6.9 Concluding Remarks; Acknowledgment; References; 7 Robust Wideband Beamforming 7.1 Introduction |
| Record Nr. | UNINA-9911018787603321 |
| Hoboken, NJ, : John Wiley, 2006 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||