73204 - Radio Communication and Radar Systems

Learning outcomes

The student acquires knowledge of both basic criteria for the design of radio communication and radar systems, and the metrics to evaluate the performance of such (analogue and digital) systems.

Course contents

The course will address some of the main challenges in digital wireless communication and radar systems, along with the corresponding solutions. Topics will be introduced using the mathematical tools presented in the first part of the course, which covers the basics. The mathematical aspects of the algorithms developed will be consistently complemented by an engineering perspective. The main topics covered are listed below:

Basics:
- Random variables, random processes;
- Harmonic analysis and spectra of signals;
- Detection theory;
- Estimation theory.

Digital communication systems:
- Matched filtering;
- Digital modulations and constellations;
- Bit error probability in digital communication systems;
- Equalization;
- Link budget;
- Thermal noise.

Radar systems:
- Radar equation and radar cross section;
- Target detection and radar resolution;
- Ranging;
- ROC curves;
- Target tracking.

Readings/Bibliography

Lecture notes and teaching materials made available by the instructor in electronic format through the institutional channels constitute the necessary and sufficient material for preparing the exam. The following books are recommended for consultation and further study:

• H.L. Van Trees, K.L. Bell, Z. Tian, "Detection Estimation and Modulation Theory, Part I: Detection, Estimation, and Filtering Theory". Wiley, 2013.
• Proakis, M. Salehi, "Digital Communications". McGraw-Hill, 2007.
• M.A. Richards, "Fundamentals of Radar Signal Processing". McGraw-Hill, 2014.
• M. Skolnik, "Radar Handbook". McGraw-Hill, 2008.

Teaching methods

The course is organized into in-person lectures, during which the fundamental elements of digital communication and radar systems are addressed. The theoretical treatment of each topic is combined with examples and with the solution of specific problems and exercises, with the aim of illustrating and highlighting practical applications.

Assessment methods

Assessment will take place through a single oral examination, consisting of theoretical questions and the discussion of application-oriented problems related to the topics covered during the course. The examination is aimed at assessing the achievement of the learning outcomes of the course and makes it possible to evaluate the students’ knowledge and understanding of the course contents, their ability to apply the mathematical and methodological tools introduced during the course, their autonomy of judgement in analysing problems and interpreting results, as well as their clarity of presentation and command of technical language.

In particular, the oral examination assesses the knowledge of the fundamental principles of digital communication systems and radar systems; the ability to formulate and discuss the solution of specific problems using appropriate models, algorithms and analytical tools; the ability to connect the different topics of the course and to critically interpret the performance of the systems considered.

Excellent marks will be awarded to students who demonstrate an organic and in-depth knowledge of the topics covered, a strong ability to critically apply the acquired tools to specific problems, autonomy in interpreting results, and full command of technical language. Intermediate marks will be awarded to students who demonstrate correct but not fully in-depth knowledge of the contents, adequate but not always autonomous application skills, and overall correct technical language. A pass mark will be awarded to students who demonstrate essential knowledge of the topics and an ability to apply the acquired tools limited to simpler cases. Significant gaps in the knowledge of fundamental concepts, difficulties in applying methodological tools, errors in formulating or discussing application-oriented problems, and inappropriate use of technical language will be assessed negatively.

Students with specific learning disorders or temporary or permanent disabilities are advised to contact the relevant University office in good time, available at https://site.unibo.it/studenti-con-disabilita-e-dsa/en . The office will be responsible for proposing any necessary adjustments, which must in any case be submitted to the instructor for approval at least 15 days before the examination. The instructor will assess their suitability also in relation to the learning outcomes of the course.

During the oral examination, the use of supporting material is not allowed, except for any aids authorized as part of approved adjustments for students with specific learning disorders or disabilities. The use of generative Artificial Intelligence is not allowed during the oral examination. Any use of it constitutes a violation of academic integrity.

Teaching tools

Teaching material: lecture notes covering all course topics will be made available to students in electronic format, before the beginning of classes, through the institutional online platform.

Office hours

See the website of Enrico Paolini