RADAR IMAGING AND REMOTE SENSING

Anno accademico 2024/2025 - Docente: LORETO DI DONATO

Risultati di apprendimento attesi

Knowledge and fundamental skills related to radar systems, remote sensing, inverse scattering, and microwave imaging as well as notions on antenna arrays for radar systems.

Knowledge and understanding: Acquisition of basic principles of radar detection and signal processing.

Applying knowledge and understanding: Ability to quantitatively solve radar detection problems in different scenarios. Solution of inverse and optimization problems.

Making judgements: Ability to identify and compare the most appropriate methods for studying real problems.

Communication skills: Ability to present orally. Ability to write a lab report using technical language.

Learning skills: Learning assessment may also be carried out on-line depending on specific circumstances required

Modalità di svolgimento dell'insegnamento

Il corso prevede lezioni frontali e laboratori sperimentali

Prerequisiti richiesti

Basic knowledge of signals theory and processing, linear systems, propagation.

Frequenza lezioni

Sebbene la frequenza alle lezioni non sia obbligatoria è fortemente consigliata. Altamente raccomandata per le esperienze di laboratorio.

Contenuti del corso

Radar systems and processing (5 CFU – 35 h)

Elements of Wave Propagation and Antennas. Antennas Array. Radar Equations and Radar Cross Section. Range Resolution and Doppler Frequency.  Noise modeling in radar receinver. Signals and Networks Representation. Matched Filter and Ambiguity Function. Pulse Compression. Radar Detecion. Moving Target Indicator (MTI) and Constant False Alarm Rate (CFAR). FMCW and Monopulse Radar. 


Microwave imaging (1.5 CFU – 10.5 h)

Non linearity and ill-posedness. Linearized Scattering Models and Regularization. Singular Value Decomposition (SVD) and Gradient Based Optimization Techniques. Compressive Sensing.


Topics - in Collaboration with companies, universities and research centers (0.5 CFU – 3.5 h)

Ground Penetrating Radar / Synthetic Aperture Radar (SAR)

Automotive Radar / Direction Finding (Angle of Arrival)

Microwave Medical Imaging / Nuclear Magnetic Resonance (NMR)


Laboratory, practise and experience  (2 CFU – 30 h)

Radar data modeling and  processing with Matlab

Measurement data acquisition and processing with mm-Waves Radar Prototype

Radar Cross Section Measurement

Visit at Sigonella/Fontanarossa/Etna Radar station (in collaboration with ENAV–TechnoSky/US Navy/INGV)

Testi di riferimento

[1] Radar Priciples, Peyton Z. Peebles, John Wiley & Sons Inc

[2] Radar Systems Analysis and Design using MATLAB (III ed.), Bassem R. Mahafza, CRC Press

[3] Radar Principles, Nadav Levanov, Wiley

[4] Antenna Theory: analysis and design, C. A. Balanis, 4th edition, Wiley

[5] Microwave imaging, Matteo Pastorino, John Wiley & Sons

[6] Introduction to Inverse Problems in Imaging, M. Bertero, P. Boccacci, C. De Mol, Taylor & Francis

Verifica dell'apprendimento

Modalità di verifica dell'apprendimento

Discussione orale e valutazione di un progetto


A garanzia di pari opportunità e nel rispetto delle leggi vigenti, gli studenti interessati possono chiedere un colloquio personale in modo da programmare eventuali misure compensative e/o dispensative, in base agli obiettivi didattici ed alle specifiche esigenze. È possibile rivolgersi anche al docente referente CInAP (Centro per l’integrazione Attiva e Partecipata - Servizi per le Disabilità e/o i DSA) del proprio Dipartimento

Esempi di domande e/o esercizi frequenti

Domande come da programma dettagliato
ENGLISH VERSION