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Antenna Engineering and Radio Wave Propagation with Matlab(r) - Couverture rigide

Ata, Osama

 
9781685690991: Antenna Engineering and Radio Wave Propagation with Matlab(r)

Synopsis

Antenna Engineering and Radio Wave Propagation with MATLAB® offers a comprehensive, simulation-driven approach to designing and optimizing antennas for modern wireless systems. It combines fundamental electromagnetic principles with cutting-edge innovations like reconfigurable intelligent surfaces and wearable biomedical antennas. With over 500 equations and 200 detailed figures, it seamlessly connects theoretical concepts with real-worldl design challenges in antenna miniaturization and wireless communications. This resource covers a wide range of antenna types, including dipoles, arrays, horn antennas, and aperture antennas. It applies advanced techniques such as ray tracing, Fourier analysis, and numerical modeling to address in-the-field challenges. Find solutions for problems like sidelobe suppression, propagation in lossy media, compact antenna design. The book also develops satellite and 5G antenna architectures, supporting these concepts with 50 practical MATLAB codes that demonstrate array synthesis, impedance matching, and radiation pattern control. This is an essential resource for antenna engineers, RF designers, and wireless system developers across telecommunications, aerospace, and biomedical fields. It provides solutions for critical problems such as interference mitigation, wearable device design, and ensuring reliable performance in complex propagation environments. The book equips professionals with the knowledge to meet the demands of next-generation wireless networks by offering a practical, simulation-driven approach to antenna design and optimization.

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À propos de l'auteur

Osama W. Ata is a professor of telecommunications engineering at Palestine Polytechnic University with a rich background in electromagnetics and antenna systems. A Fulbright fellow and frequent contributor to antenna R&D, Ata blends academic rigor with engineering practicality. His extensive use of MATLAB in design and simulation underpins his commitment to hands-on, application-based learning.

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