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Fall 2015 EE 671 Electromagnetic Theory and Applications

Fall 2015 EE 671 Electromagnetic Theory and Applications

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Page 1: Fall 2015 EE 671 Electromagnetic Theory and Applications

Fall 2015

EE 671

Electromagnetic Theory and Applications

Page 2: Fall 2015 EE 671 Electromagnetic Theory and Applications

Fall 2015

General Information

• Instructor Zhengqing (ZQ) Yun, HCAC, College of

Engineering

Office: POST 201B

Phone: 6-0759

Email: [email protected]

• Website http://www-ee.eng.hawaii.edu/~zqyun

Page 3: Fall 2015 EE 671 Electromagnetic Theory and Applications

Fall 2015

General Information

• Textbooks and references (optional)– Balanis: Advanced Engineering Electromagnetics – Bertoni: Radio Propagation for Modern Wireless

Systems – Iskander: Electromagnetic Fields and Waves– Born & Wolf; Collin; Feynman; Flanders; Ishimaru;

Stratton; …

• Office hours – By appointment

Page 4: Fall 2015 EE 671 Electromagnetic Theory and Applications

Fall 2015

General Information

• Grading – Homework– Examinations (optional)– Projects

Page 5: Fall 2015 EE 671 Electromagnetic Theory and Applications

Fall 2015

Contents

• Part I. Advanced Electromagnetic (EM) Theory

• Part II. Applications: Radio Propagation Modeling/Prediction for Wireless Communications

Page 6: Fall 2015 EE 671 Electromagnetic Theory and Applications

Fall 2015

Part I. Advanced EM Theory• Maxwell's equations: a review• The Del operator• Unification of gradient, curl, divergence: differential forms• Boundary value problems (BVP) and guided waves• Green’s theorem and diffraction• Bessel functions and EM field in cylindrical systems• Scattering• Ray optics• Wedge diffraction: Uniform Theory of Diffraction • Evanescent waves• Saddle point method• Some general theorems and principles• Green’s functions

Page 7: Fall 2015 EE 671 Electromagnetic Theory and Applications

Fall 2015

Part II. Radio Propagation for Wireless Communications

• Wireless Communications Systems• Propagation Models • Challenges for propagation prediction• Ray-tracing and applications • Geospatial data for propagation prediction• GPU acceleration for propagation modeling