Nikolova N.K. Introduction to Microwave Imaging

Cambridge: Cambridge University Press, 2017. — 591 p.This self-contained, introductory text will enable readers to 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 formulas, 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 for 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.Notation.
Acronyms.
Scalar-Wave Models in Electromagnetic Scattering.
Electromagnetic Scattering: The Vector Model.
Scattering Parameters in Microwave Imaging.
Linear Inversion in Real Space.
Linear Inversion in Fourier Space.
Performance Metrics in Imaging.
Fundamental Spatial Resolution Limits with Far-Zone Measurements.
General Bistatic Formula for Spatial Resolution Limits.
Resolving a Point Source.
Resolution Formula for Bistatic Measurements.
Physical Assessment of the Imaging System.
System Dynamic Range Dsys and Response Dynamic Range Dr.
Data Signal-to-Noise Ratio (SNRd).
Physical Contrast Sensitivity.
Looking Forward: Nonlinear Reconstruction.
Appendix A: Maxwell’s Equations.
Appendix B: Electromagnetic Vector Wave and Helmholtz Equations.
Appendix C: Scalarized Electromagnetic Models.
Appendix D: Causal, Acausal, and Adjoint Solutions to the Wave Equation.