Università degli Studi di Napoli "Parthenope"

Teaching schedule

Academic year: 
2017/2018
Belonging course: 
Course of Master's Degree Programme on NAVIGATION SCIENCE AND TECHNOLOGIES
Disciplinary sector: 
TELECOMMUNICATIONS (ING-INF/03)
Credits: 
9
Year of study: 
1
Teachers: 
Cycle: 
First Semester
Hours of front activity: 
72

Language

Lectures in Italian

Course description

Knowledge and understanding:
Thanks to the strict methodology of the scientific subjects
the student matures skills and understanding skills
necessary for subsequent studies

Ability to apply the knowledge and
comprehension ability:
The didactic setting cantamplate that theoretical training is
by exercises that solicit the active participation, proactive attitude and the ability to autonomous processing.

Autonomy of judgment:
The proposed topics allow the development of the ability to understand and adapt learned approaches to cases other than those proposed in the classroom.

Communicative Skills:
The course setting is such that the student will develop proper language properties and will use it to use unambiguous terminology, proper to the communications systems and radar systems

Ability to learn independently
The proposed exercises are designed to develop the ability to identify important aspects before dealing with the exercise itself

Prerequisites

Knowledge of basic tools of mathematical analysis and basic concepts of probability calculation

Syllabus

Signal Definition, Signal Classification, Synthetic Signal Characterization, Temporal Duration, Signal Samples, Area and Temporal Mean, Signal Power, Operations among signals, Fourier Series, Amplitude and Phase Spectrum , Reconstruction with a limited number of harmonics, Fourier Transform, Probability Theory, Probability Law, Axioms and Corollaries of Probability Law, Conditional Probability, Statistic Independence, Bayes Theorem, Random Variable, Cumulative Distribution Function (CDF), CDF Properties, Classification of a random variable, Probability Density Function (pdf), pdf examples, Complete and Synthetic Statistical Description, White Noise, Thermal Noise, Radar, Operating Principle, Radar System, Radar Applications, Radar Equation, Minimum Detected Signal, Signal Noise Ratio, Probability of False Alarm, Detection Probability, Minimal SNR, Impulse Integration, Radar Cross Section, Transmission Power, Range Ambiguity, Range Resolution, Antennas, System Losses, Propagation Effects, CW Radar, Doppler Effect, FM-CW Radar, MTI, Blind Speeds, Image Radar, Secondary Radar, Mode S, Weather Radar, Artificial Satellites, Satellite Positioning Systems, GPS, GPS Signal

Elements of Signal Theory (14 hours)
Signal Definition, Signal Classification, Synthetic Signal Characterization, Temporal Duration, Signal Samples, Area and Temporal Mean, Signal Power, Operations among signals, Fourier Series, Amplitude and Phase Spectrum, Reconstruction with a limited number of harmonics, Fourier Transform

Elements of Signal Theory (12 hours)
Probability Theory, Probability Law, Axioms and Corollaries of Probability Law, Conditional Probability, Statistic Independence, Bayes Theorem, Random Variable, Cumulative Distribution Function (CDF), CDF Properties, Classification of a random variable, Probability Density Function (pdf), pdf examples, Complete and Synthetic Statistical Description, White Noise, Thermal Noise,

Radar (20 hours)
Operating Principle,
Radar Applications, Radar Equation, Minimum Detected Signal, Signal Noise Ratio, Probability of False Alarm, Detection Probability, Minimal SNR, Impulse Integration, Radar Cross Section, Transmission Power, Range Ambiguity, Range Resolution, Antennas, System Losses, Propagation Effects,

Radar System (20 hours)
CW Radar, Doppler Effect, FM-CW Radar, MTI, Blind Speeds, Image Radar, Secondary Radar, Mode S, Weather Radar,

Satellite Systems (6 hours)
Artificial Satellites, Satellite Positioning Systems, GPS, GPS Signal

Teaching Methods

Lectures (in Italian) and Exercises

Textbooks

- M. I. Skolnik, “Introduction to Radar Systems”, McGraw Hill
- S. Grewal, L.R. Weill, “Global Positioning Systems, Inertial Navigation and Integration”, Wiley & Sons
- G. Gelli, “Probabilità e informazione”
- G. Gelli, F. Verde, “Segnali e Sistemi”
- Power point documents provided by the teacher
- Exercises provided by the teacher

Learning assessment

The aim of the final exam is to check the level of achievement of the goals previously indicated.
The exam is divided into 2 parts that take place on the same day.
- a written part that consists in the resolution of some exercises. The proposed exercises are of the same type as those presented and solved in classroom.
- an oral part on all the thematic presented in the course; The aim of the test is to evaluate the ability in studying course topics and in understanding basic arguments.
The final mark is given by the weighted average (1/3 and 2/3) of the scores of the 2 parts.

More information

Office Hours:
Monday 14.30:16:30

Teaching Material is available at the following link:
http://e-scienzeetecnologie.uniparthenope.it/