Introduction to Microwave Imaging - Natalia K Nikolova

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Résumé :
With this self-contained, introductory text, readers will easily understand the fundamentals of microwave and radar image generation. Written with the complete novice in mind, and including an easy-to-follow introduction to electromagnetic scattering theory, it covers key topics such as forward models of scattering for interpreting S-parameter and time-dependent voltage data, S-parameters and their analytical sensitivity formulae, basic methods for real-time image reconstruction using frequency-sweep and pulsed-radar signals, and metrics for evaluating system performance. Numerous application examples and practical tutorial exercises provided throughout allow quick understanding of key concepts, and sample MATLAB codes implementing key reconstruction algorithms accompany the book online. This one-stop resource is ideal for graduate students taking introductory courses in microwave imaging, as well as researchers and industry professionals wanting to learn the fundamentals of the field....

Biographie:
Natalia K. Nikolova is a Professor in the Department of Electrical and Computer Engineering at McMaster University, and a Canada Research Chair in High-frequency Electromagnetics. She is a Fellow of both the Institute of Electrical and Electronics Engineers (IEEE) and the Canadian Academy of Engineering, and a former IEEE Distinguished Microwave Lecturer....

Sommaire:
1. Scalar wave models in electromagnetic scattering; 2. Electromagnetic scattering: the vector model; 3. Scattering parameters in microwave imaging; 4. Linear inversion in real space; 5. Linear inversion in Fourier space; 6. Performance metrics in imaging; 7. Looking forward: nonlinear reconstruction; Appendix A. Maxwell's equations; Appendix B. The electromagnetic vector wave and Helmholtz equations; Appendix C. Scalarized electromagnetic models; Appendix D. Causal, acausal and adjoint solutions to the wave equation; Index.