Detection Theory
Detekteringsteori

EIT165F, 9 credits

Valid from: Autumn 2017
Decided by: Professor Thomas Johansson
Date of establishment: 2017-12-07

General Information

Division: Electrical and Information Technology
Course type: Third-cycle course
Teaching language: English

Aim

The course aims to provide a deep understanding of the subject Detection Theory. Detection theory can be applied to many different fields, and within communication theory it plays a central role. The department’s research is dominated by different aspects of communication. To have a solid basis and skills in detection is of fundamental importance for a large fraction of LTH’s doctoral students. The course provides them with a solid scientific basis for communication theory

Goals

Knowledge and Understanding

For a passing grade the doctoral student must

• Understand in detail the most common detection methods and their application areas
• Understand in detail theoretical limitations of detection theory

Competences and Skills

For a passing grade the doctoral student must

• be able to analyze common detection problems
• select a suitable detection method for a given problem description at hand
• be able to derive theoretical limits for detection accuracy
• be able to communicate detection problems and their solutions orally
• have acquired sufficient knowledge for being able to discuss detection problems and their solution with established researchers in the field

Judgement and Approach

For a passing grade the doctoral student must have the ability to independently acquire important information from an extensive text, such as a textbook

Course Contents

The Neyman-Pearson Theorem, Bayes Risk, Matched and generalized matched filters, Estimator-Correlator structures, Generalized likelihood tests, LMP detectores, detection of signals with unknown parameters, non-Gaussian noise, detection of model changes

Course Literature

Kay, Steven M.: Detection Theory. Prentice Hall, 1993..

Instruction Details

Types of instruction: Lectures, seminars

Examination Details

Examination format: Written assignments
Grading scale: Failed, pass
Examiner:

Admission Details

Further Information

Course Coordinator: Fredrik Rusek fredrik.rusek@eit.lth.se

Course Occasion Information

Contact and Other Information

Course coordinators:
Web page: http://www.eit.lth.se/index.php?ciuid=1133