Course Details

Subject {L-T-P / C} : EC6414 : Adaptive and Smart Antenna { 3-0-0 / 3}

Subject Nature : Theory

Coordinator : Prof. Sudipta Maity

Syllabus

Module 1: Adaptive Array Concept: Motivation of using Adaptive Arrays, Adaptive Array problem statement, Signal Environment, Array Element Spacing considerations, Array Performance, Nulling Limitations due to miscellaneous array effects, Narrow band and broad band signal processing considerations
(4 hours)

Module 2: Optimum Array Processing: Steady state performance limits and the Wiener solution, Mathematical Preliminaries, Signal Description for conventional and signal aligned arrays, Optimum Array Processing for narrowband applications, Optimum Array Processing for broadband applications, Optimum Array Processing for perturbed propagation conditions
(8 hours)

Module 3: Adaptive Algorithms: The least mean square error (LMS) algorithm, the Differential Steepest descent algorithm, the accelerated gradient approach, Gradient algorithm with constraints, Simulation studies.
(8 hours)

Module 4: Recursive Methods for Adaptive Error Processing: The weighted Least Square Error Processor, Updated Covariance Matrix Inverse, Kalman Filter methods for Adaptive Array Processing, the minimum variance processor, Simulation studies.
(8 hours)

Module 5: Effect of Mutual Coupling on Adaptive Antennas: Accounting for mutual effects for dipole array- compensation using open-circuit voltages, compensation using the minimum norm formulation, Effect of mutual coupling- Constant Jammers, Constant Signal, Compensation of mutual coupling- Constant Jammers, Constant Signal, Result of different elevation angle.
(8 hours)

Course Objectives

Course Outcomes

1) Understand antenna theory and application of signa processing in it. <br />2) Learn techniques of developing MIMO antennas, beam forming. <br />3) Design practical antennas for Radar applications.

Essential Reading

Supplementary Reading

Journal and Conferences