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Antenna Design Lab

Experiment 1: Introduction to Antenna Parameters

Experiment 2: Wire Antennas (Dipole Antenna, Loop Antennas)

Experiment 3: Complementary of Wire Antennas (Different types of Slot Antennas)

Experiment 4: Linear Arrays Introduction, Broadside Array, End-Fire Array

Experiment 5: Scanning Performances of Phased Array Antenna and their Design

Experiment 6: Yagi-Uda Antenna Design

Experiment 7: Horn Antennas Design (Pyramidal and Circular)

Experiment 8: Microstrip Patch Antenna and their Array Configuration

Computational Methods for Electromagnetics

Fundamental Concepts: Integral equations versus differential equations, radiation and edge conditions, modal representation of fields in bounded and unbounded media. Finite Difference Methods: Introduction, Finite Difference Schemes, Finite differencing of parabolic PDE, Finite Differencing of Hyperbolic PDE, Finite differencing of elliptic PDE, Accuracy and stability of FD Solutions, Practical Applications in Guided structure.

Antenna Theory and Design

Fundamental: Concepts of antenna parameters, Radiation from Wires and Loops: Infinitesimal dipole, finite-length dipole, linear elements near conductors, dipoles for mobile communication, small circular loop, Aperture Antennas: Huygens’ principle, radiation from rectangular and circular apertures, design considerations, Babinet’s principle, Fourier transform method in aperture antenna theory, Horn and Reflector Antennas: Radiation from sectoral and pyramidal horns, design concepts, prime focus parabolic reflector and casse grain antennas Microstrip Antennas: Basic characteristics, feeding m

Estimation and Detection Theory

Maximum Likelihood Estimation (MLE): Exact and approximate methods (EM algorithm, alternating maximization, etc.)Cramer-Rao Lower Bound (CRLB) Minimum Variance Unbiased Estimation (MVUE) Sufficient Statistics Best Linear Unbiased Estimation (BLUE) Large and Small Sample Properties of Estimators: Understanding the behavior of estimators in both large and small sample sizes Bayesian Inference and Estimation: Minimum Mean Square Error (MMSE) estimation MAP Estimation (Maximum A Posteriori Estimation)Wiener and Kalman Filtering (Sequential Bayes) Detection Theory: Likelihood Ratio Testing Bayes

Engineering Design Project

Design and develop initial design concepts and architectures that are in the area of VLSI and Microsystems using VLSI/CAD design tools based on a set of practical specifications.

Analysis of VLSI circuits and microsystems and efficacy determination with the help of simulation tools.

The layout and test plans/mask layout for hardware verification/fabrication of the simulated system/device

Microelectronics Lab

Module 1: Microelectronics Device and Process Simulation Syllabus This module focuses on the simulation of fabrication processes and the microelectronics devices such as short channel MOSFET etc. using TCAD tools for Micro and nanoelectronic devices. The process simulation enables one to experiment with the device fabrication flow. The device simulation involves simulating the electrical characteristics of a process simulated/fabricated device.

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