F. Gross – Smart Antennas with Matlab (2015)
1.295 ₽
Автор: F. Gross
Название книги: Smart Antennas with Matlab
Формат: PDF
Жанр: Приборостроение
Страницы: 433
Качество: Изначально компьютерное, E-book
The most complete, current guide to smart antenna design and performance. Featuring new coverage of reconfigurable antennas, vector antennas, and direction-finding antennas, this up-to-date resource offers a rigorous review of the basic electromagnetic principles that drive smart antenna design and deployment. Case studies and worked examples using MATLAB are provided. End-of-chapter assignments reinforce the concepts presented. Thoroughly revised to reflect recent developments and the latest technologies, this is a comprehensive reference for all professionals, students, and researchers in the field of smart antennas.
Smart Antennas with MATLAB, Second Edition, covers:
Fundamentals of electromagnetic fields;
Antenna fundamentals;
Array fundamentals;
Principles of random variables and processes;
Propagation channel characteristics;
Angle-of-arrival estimation;
Smart antennas;
Direction finding;
Electromagnetic vector sensors;
Smart antenna design and optimization.
Introduction.
What Is a Smart Antenna?
Why Are Smart Antennas Emerging Now?
What Are the Benefits of Smart Antennas?
Smart Antennas Involve Many Disciplines.
Overview of the Book.
References.
Fundamentals of Electromagnetic Fields.
Maxwell’s Equations.
The Helmholtz Wave Equation.
Propagation in Rectangular Coordinates.
Propagation in Spherical Coordinates.
Electric Field Boundary Conditions.
Magnetic Field Boundary Conditions.
Planewave Reflection and Transmission Coefficients.
Propagation over Flat Earth.
Knife-Edge Diffraction.
References.
Problems.
Antenna Fundamentals.
Antenna Field Regions.
Power Density.
Radiation Intensity.
Basic Antenna Nomenclature.
Friis Transmission Formula.
Magnetic Vector Potential and the Far Field.
Linear Antennas.
Loop Antennas.
References.
Problems.
Array Fundamentals.
Linear Arrays.
Array Weighting.
Circular Arrays.
Rectangular Planar Arrays.
Fixed Beam Arrays.
Fixed Sidelobe Canceling.
Retrodirective Arrays.
References.
Problems.
Principles of Random Variables and Processes.
Definition of Random Variables.
Probability Density Functions.
Expectation and Moments.
Common Probability Density Functions.
Stationarity and Ergodicity.
Autocorrelation and Power Spectral Density.
Covariance Matrix.
References.
Problems.
Propagation Channel Characteristics.
Flat Earth Model.
Multipath Propagation Mechanisms.
Propagation Channel Basics.
Improving Signal Quality.
References.
Problems.
Angle-of-Arrival Estimation.
Fundamentals of Matrix Algebra.
Array Correlation Matrix.
AOA Estimation Methods.
References.
Problems.
Smart Antennas.
Introduction.
The Historical Development of Smart Antennas.
Fixed Weight Beamforming Basics.
Adaptive Beamforming.
References.
Problems.
Direction Finding.
Loop Antennas.
Adcock Dipole Antenna Array.
Modern DF Applied to Adcock and Cross-Loop Arrays.
Geolocation.
References/Notes.
Problems.
Vector Sensors.
Introduction.
Vector Sensor Antenna Array Response.
Vector Sensor Direction Finding.
Vector Sensor Beamforming.
Vector Sensor Cramer-Rao Lower Bound.
Acknowledgments.
References.
Problems.
Smart Antenna Design.
Introduction.
Global Optimization Algorithms.
Optimizing Smart Antenna Arrays.
Adaptive Nulling.
NEC in Smart Antenna Design.
Evolutionary Antenna Design.
Current and Future Trends.
References.
Problems.
Описание
Smart Antennas with MATLAB — практическое руководство по теории и проектированию интеллектуальных антенных систем с использованием MATLAB. Книга подробно рассматривает принципы работы адаптивных антенн, алгоритмы формирования диаграммы направленности, методы пространственной обработки сигналов и борьбы с помехами.
Автор объясняет, как реализовать ключевые алгоритмы (LMS, RLS, MVDR, MUSIC, ESPRIT и другие) в MATLAB, приводит готовые примеры кода и анализирует их работу в реальных сценариях беспроводной связи, радарах и системах MIMO. Особое внимание уделено практическим аспектам моделирования и оптимизации антенных массивов.
- инженерам-разработчикам антенн и радиосистем
- специалистам в области беспроводной связи и радиолокации
- студентам и аспирантам профильных технических вузов
- исследователям, работающим с MATLAB в области обработки сигналов
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