JAWAHARLAL NEHRU TECHNOLOGICAL UNIVERSITY HYDERABAD

Course Objectives:

• 1. To familiarize the Microwave imaging in the fields of Civil and Industrial Engineering.
• 2. To understand the Qualitative deterministic, static, hybrid reconstruction methods.
• 3. To know the Microwave imaging applications.

Course Outcomes

Students will be able to:

• 1. Use a Microwave imaging technique in sensing a given scene by means of interrogating microwaves
• 2. Use microwaves for diagnostic purposes in a wide range of applications
• 3. Model qualitative deterministic, stochastic and hybrid reconstruction Methods.

UNIT - I

Imaging Configurations and Model Approximations: Objectives of the Reconstruction, Multi- illumination Approaches, Tomographic Configurations, Scanning Configurations, Configurations for Buried-Object Detection, Born-Type Approximations, Extended Born Approximation, Rytov Approximation, Kirchhoff Approximation, Green's Function for Inhomogeneous Structures.

UNIT - II

Qualitative Reconstruction Methods: Introduction, Generalized Solution of Linear Ill-Posed Problems, Regularization Methods, Singular Value Decomposition, Singular Value Decomposition for Solving Linear Problems, Regularized Solution of a Linear System Using Singular Value Decomposition, Qualitative Methods for Object Localization and Shaping, The Linear Sampling Method, Synthetic Focusing Techniques,, Qualitative Methods for Imaging Based on Approximations, Diffraction Tomography, Inversion Approaches Based on Born-Like Approximations, Born Iterative Method, Reconstruction of Equivalent Current Density.

UNIT - III

Quantitative Deterministic Reconstruction Methods: Inexact Newton Methods, Truncated Landweber Method, Inexact Newton Method for Electric Field Integral Equation Formulation, Inexact Newton Method for Contrast Source Formulation, Distorted Born Iterative Method, Inverse Scattering as an Optimization Problem, Gradient-Based Methods. Quantitative Stochastic Reconstruction Methods: Simulated Annealing, Genetic Algorithm, Differential Evolution Algorithm, Particle Swarm Optimization, Ant Colony Optimization, Code Parallelization. Hybrid Approaches: Memetic Algorithm, Linear Sampling Method and Ant Colony Optimization.

UNIT - IV

Microwave Imaging Apparatuses and Systems: Scanning Systems for Microwave Tomography, Antennas for Microwave Imaging, Modulated Scattering Technique and Microwave Cameras. Applications of Microwave Imaging: Civil and Industrial Applications, Medical Applications of Microwave Imaging, Shallow Subsurface Imaging.

UNIT - V

Microwave Imaging Strategies, Emerging Techniques, and Future Trends: Potentialities and Limitations of Three-Dimensional Microwave Imaging, Amplitude-Only Methods, Support Vector Machines, Metamaterials for Imaging Applications, Through-Wall Imaging.

TEXT BOOKS:

• 1. Matteo Pastorino - Microwave Imaging, Wiley & Sons 2010
• 2. V. C. Chen and H. Ling -Time-Frequency Transforms for Radar Imaging and Signal Analysis, Artech House 2002

REFERENCE BOOKS:

• 1. Bernard D. Steinberg - Microwave Imaging Techniques, Wiley & Sons 1991
• 2. Taylor, D.J.- Introduction to Ultra-wideband Radar Systems, CRC Press. 1995
• 3. D. R. Wehner - High-Resolution Radar, 2nd Ed., Artech House 1994 M. Tech. (MICROWAVE AND RADAR ENGINEERING)