Physics of Multiantenna Systems and Broadband Processing

Name: Physics of Multiantenna Systems and Broadband Processing
Price: 129.47 USD
Availability: InStock
ISBN: 9780470190401

ISBN-10: 047019040X

ISBN-13: 9780470190401

Edition: 2008

Authors: T. K. Sarkar, Magdalena Salazar-Palma, Eric L. Mokole

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Description:

The objective of the book is to present the physics of multiantenna systems and broadband processing. A better understanding for the deployment of real systems can be gained by studying the earlier methodologies in the broad context of filter theory, information theory and electromagnetic theory and to discuss the currently developed methodology MIMO using the vector Maxwell equations. Due to huge growth in the field of electronic communications, the need for a reference book such as this can only be expected to increase in the next decade.

Book details

List price: $181.95
Copyright year: 2008
Publisher: John Wiley & Sons, Incorporated
Publication date: 6/30/2008
Binding: Hardcover
Pages: 584
Size: 6.40" wide x 9.55" long x 1.24" tall
Weight: 2.046
Language: English

TAPAN K. SARKAR is a professor in the Department of Electrical and Computer Engineering at Syracuse University.ROBERT J. MAILLOUX is a retired senior scientist at the Sensors Directorate, Air Force Research Laboratory, Hanscom AFB, Massachusetts, and is currently Research Professor, University of Massachusetts, Amherst.ARTHUR A. OLINER is a University Professor Emeritus of Polytechnic University (formerly the Polytechnic Institute of Brooklyn). He is an elected member of the National Academy of Engineering, the recipient of two honorary doctorates and many prestigious awards, including two gold medals, and the coauthor of about 300 papers and three books.MAGDALENA SALAZAR-PALMA is a…



Preface


Acknowledgments



What Is an Antenna and How Does It Work?



Summary



Historical Overview of Maxwell's Equations



Review of Maxwell-Heaviside-Hertz Equations



Faraday's Law



Generalized Ampere's Law



Generalized Gauss's Law of Electrostatics



Generalized Gauss's Law of Magnetostatics



Equation of Continuity



Solution of Maxwell's Equations



Radiation and Reception Properties of a Point Source Antenna in Frequency and in Time Domain



Radiation of Fields from Point Sources



Reception Properties of a Point Receiver



Radiation and Reception Properties of Finite-Sized Dipole-Like Structures in Frequency and in Time



Radiation Fields from Wire-like Structures in th Frequency Domain



Radiation Fields from Wire-like Structures in the Time Domain



Induced Voltage on a Finite-Sized Receive Wire-like Structure Due to a Transient Incident Field



Conclusion


References



Fundamentals of Antenna Theory in the Frequency Domain



Summary



Field Produced by a Hertzian Dipole



Concept of Near and Far Fields



Field Radiated by a Small Circular Loop



Field Produced by a Finite-Sized Dipole



Radiation Field from a Linear Antenna



Near- and Far-Field Properties of Antennas



What Is Beamforming Using Antennas



Use of Spatial Antenna Diversity



The Mathematics and Physics of an Antenna Array



Propagation Modeling in the Frequency Domain



Conclusion


References



Fundamentals of an Antenna in the Time Domain



Summary



Introduction



UWB Input Pulse



Travelling-Wave Antenna



Reciprocity Relation Between Antennas



Antenna Simulations



Loaded Antennas



Dipole



Bicones



TEM Horn



Log-Periodic



Spiral



Conventional Wideband Antennas



Volcano Smoke



Diamond Dipole



Monofilar Helix



Conical Spiral



Monoloop



Quad-Ridged Circular Horn



Bi-Blade with Century Bandwidth



Cone-Blade



Vivaldi



Impulse Radiating Antenna (IRA)



Circular Disc Dipole



Bow-Tie



Planar Slot



Experimental Verification of the Wideband Responses from Antennas



Conclusion


References



A Look at the Concept of Channel Capacity from a Maxwellian Viewpoint



Summary



Introduction



History of Entropy and Its Evolution



Different Formulations for the Channel Capacity



Information Content of a Waveform



Numerical Examples Illustrating the Relevance of the Maxwellian Physics in Characterizing the Channel Capacity



Matched Versus Unmatched Receiving Dipole Antenna with a Matched Transmitting Antenna Operating in Free Space



Use of Directive Versus Nondirective Matched Transmitting Antennas Located at Different Heights above the Earth for a Fixed Matched Receiver Height above Ground



Conclusion



Appendix: History of Entropy and Its Evolution


References



Multiple-Input-Multiple-Output (MIMO) Antenna Systems



Summary



Introduction



Diversity in Wireless Communications



Time Diversity



Frequency Diversity



Space Diversity



Multiantenna Systems



Multiple-Input-Multiple-Output (MIMO) Systems



Channel Capacity of the MIMO Antenna Systems



Channel Known at the Transmitter



Water-filling Algorithm



Channel Unknown at the Transmitter



Alamouti Scheme



Diversity-Multiplexing Tradeoff



MIMO Under a Vector Electromagnetic Methodology



MIMO Versus SISO



More Appealing Results for a MIMO system



Case Study: 1



Case Study: 2



Case Study: 3



Case Study: 4



Case Study: 5



Physics of MIMO in a Nutshell



Line-of-Sight (LOS) MIMO Systems with Parallel Antenna Elements Oriented Along the Broadside Direction



Line-of-Sight MIMO Systems with Parallel Antenna Elements Oriented Along the Broadside Direction



Non-line-of-Sight MIMO Systems with Parallel Antenna Elements Oriented Along the Broadside Direction



Conclusion


References



Use of the Output Energy Filter in Multiantenna Systems for Adaptive Estimation



Summary



Various Forms of the Optimum Filters



Matched Filter (Cross-correlation filter)



A Wiener Filter



An Output Energy Filter (Minimum Variance Filter)



Example of the Filters



Direct Data Domain Least Squares Approaches to Adaptive Processing Based on a Single Snapshot of Data



Eigenvalue Method



Forward Method



Backward Method



Forward-Backward Method



Real Time Implementation of the Adaptive Procedure



Direct Data Domain Least Squares Approach to Space-Time Adaptive Processing



Two-Dimensional Generalized Eigenvalue Processor



Least Squares Forward Processor



Least Squares Backward Processor



Least Squares Forward-Backward Processor



Application of the Direct Data Domain Least Squares Techniques to Airborne Radar for Space-Time Adaptive Processing



Conclusion


References



Minimum Norm Property for the Sum of the Adaptive Weights in Adaptive or in Space-Time Processing



Summary



Introduction



Review of the Direct Data Domain Least Squares Approach



Review of Space-Time Adaptive Processing Based on the D3LS Method



Minimum Norm Property of the Adaptive Weights at the DOA of the SOI for the 1-D Case and at Doppler Frequency and DOA for STAP



Numerical Examples



Conclusion


References



Using Real Weights in Adaptive and Space-Time Processing



Summary



Introduction



Formulation of a Direct Data Domain Least Squares Approach Using Real Weights



Forward Method



Backward Method



Forward-Backward Method



Simulation Results for Adaptive Processing



Formulation of an Amplitude-only Direct Data Domain Least Squares Space-Time Adaptive Processing



Forward Method



Backward Method



Forward-Backward Method



Simulation Results



Conclusion


References



Phase-Only Adaptive and Space-Time Processing



Summary



Introduction



Formulation of the Direct Data Domain Least Squares Solution for a Phase-Only Adaptive System



Forward Method



Backward Method



Forward-Backward Method



Simulation Results



Formulation of a Phase-Only Direct Data Domain Least Squares Space-Time Adaptive Processing



Forward Method



Backward Method



Forward-Backward Method



Simulation Results



Conclusion


References



Simultaneous Multiple Adaptive Beamforming



Summary



Introduction



Formulation of a Direct Data Domain Approach for Multiple Beamforming



Forward Method



Backward Method



Forward-Backward Method



Simulation Results



Formulation of a Direct Data Domain Least Squares Approach for Multiple Beamforming in Space-Time Adaptive Processing



Forward Method



Backward Method



Forward-Backward Method



Simulation Results



Conclusion


References



Performance Comparison Between Statistical-Based and Direct Data Domain Least Squares Space-Time Adaptive Processing Algorithms



Summary



Introduction



Description of the Various Signals of Interest



Modeling of the Signal-of-Interest



Modeling of the Clutter



Modeling of the Jammer



Modeling of the Discrete Interferers



Statistical-Based STAP Algorithms



Full-Rank Optimum STAP



Reduced-Rank STAP (Relative Importance of the Eigenbeam Method)



Reduced-Rank STAP (Based on the Generalized Sidelobe Canceller)



Direct Data Domain Least Squares STAP Algorithms



Channel Mismatch



Simulation Results



Conclusion


References



Approximate Compensation for Mutual Coupling Using the In Situ Antenna Element Patterns



Summary



Introduction



Formulation of the New Direct Data Domain Least Squares Approach Approximately Compensating for the Effects of Mutual Coupling Using the In Situ Element Patterns



Forward Method



Backward Method



Forward-Backward Method



Simulation Results



Reason for a Decline in the Performance of the Algorithm When the Intensity of the Jammer Is Increased



Conclusion


References



Signal Enhancement Through Polarization Adaptivity on Transmit in a Near-Field MIMO Environment



Summary



Introduction



Signal Enhancement Methodology Through Adaptivity on Transmit



Exploitation of the Polarization Properties in the Proposed Methodology



Numerical Simulations



Example 1



Example 2



Example 3



Conclusion


References



Direction of Arrival Estimation by Exploiting Unitary Transform in the Matrix Pencil Method and Its Comparison with ESPRIT



Summary



Introduction



The Unitary Transform



1-D Unitary Matrix Pencil Method Revisited



Summary of the 1-D Unitary Matrix Pencil Method



The 2-D Unitary Matrix Pencil Method



Pole Pairing for the 2-D Unitary Matrix Pencil Method



Computational Complexity



Summary of the 2-D Unitary Matrix Pencil Method



Simulation Results Related to the 2-D Unitary Matrix Pencil Method



The ESPRIT Method



Multiple Snapshot-Based Matrix Pencil Method



Comparison of Accuracy and Efficiency Between ESPRIT and the Matrix Pencil Method



Conclusion


References



DOA Estimation Using Electrically Small Matched Dipole Antennas and the Associated Cramer-Rao Bound



Summary



Introduction



DOA Estimation Using a Realistic Antenna Array



Transformation Matrix Technique



Cramer-Rao Bound for DOA Estimation



DOA Estimation Using 0.1 [gamma] Long Antennas



DOA Estimation Using Different Antenna Array Configurations



Conclusion


References



Non-Conventional Least Squares Optimization for DOA Estimation Using Arbitrary-Shaped Antenna Arrays



Summary



Introduction



Signal Modeling



DFT-Based DOA Estimation



Non-conventional Least Squares Optimization



Simulation Results



An Array of Linear Uniformly Spaced Dipoles



An Array of Linear Non-uniformly Spaced Dipoles



An Array Consisting of Mixed Antenna Elements



An Antenna Array Operating in the Presence of Near-Field Scatterers



Sensitivity of the Procedure Due to a Small Change in the Operating Environment



Sensitivity of the Procedure Due to a Large Change in the Operating Environment



An Array of Monopoles Mounted Underneath an Aircraft



A Non-uniformly Spaced Nonplanar Array of Monopoles Mounted Under an Aircraft



Conclusion


References



Broadband Direction of Arrival Estimations Using the Matrix Pencil Method



Summary



Introduction



Brief Overview of the Matrix Pencil Method



Problem Formulation for Simultaneous Estimation of DOA and the Frequency of the Signal



Cramer-Rao Bound for the Direction of Arrival and Frequency of the Signal



Example Using Isotropic Point Sources



Example Using Realistic Antenna Elements



Conclusion


References



Adaptive Processing of Broadband Signals



Summary



Introduction



Formulation of a Direct Data Domain Least Squares Method for Adaptive Processing of Finite Bandwidth Signals Having Different Frequencies



Forward Method for Adaptive Processing of Broadband Signals



Backward Method



Forward-Backward Method



Numerical Simulation Results



Conclusion


References



Effect of Random Antenna Position Errors on a Direct Data Domain Least Squares Approach for Space-Time Adaptive Processing



Summary



Introduction



EIRP Degradation of Array Antennas Due to Random Position Errors



Example of EIRP Degradation in Antenna Arrays



Simulation Results



Conclusion


References


Index