RADAR IMAGING AND REMOTE SENSING
Anno accademico 2023/2024 - Docente: LORETO DI DONATORisultati 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
Prerequisiti richiesti
Basic knowledge of signals theory and processing, linear systems, propagation.
Frequenza lezioni
Contenuti del corso
Radar Processing, Imaging and Systems (4 CFU – 28 h)
Elements of Wave Propagation and Antennas. Radar Equation and Radar Cross Section. Range Resolution and Doppler Frequency. Radar Equation with Jamming. Effects of the Earth’s Surface and Clutter. Signals and Networks Representation with Noise. Matched Filter and Ambiguity Function. Pulse Compression. Radar Detecion (MTI and CFAR). Doppler and Monopulse Radar.
Synthetic Aperture Radar (2 CFU - 14 h)
Electromagnetic Scattering Models from Surfaces. Resolution and Power Requirements. SAR Signal Processing. SAR Interferometry.
Microwave Imaging (1 CFU – 7h)
Non linearity and ill-posedness. Regularization and Linearized Scattering. Singular Value Decomposition (SVD). Compressive Sensing and Gradient Based Reconstruction Techniques.
Topics - in Collaboration with Companies, Universities and Research Centers (1 CFU – 7 h)
Automotive Radar / Direction Finding (Angle of Arrival)
Ground Penetrating Radar / Through-the-Wall Imaging
Microwave Medical Imaging / Nuclear Magnetic Resonance
Laboratory and on-field Experience (1 CFU – 25 h)
RADAR and SAR data processing with Matlab
Measurement data acquisition and processing with a mm-Waves Radar Prototype
Radar Cross Section Measurement in Anechoic Chamber
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] Synthetic Aperture Radar Processing, G. Franceschetti and R. Lanari, CRC Press
[6] Introduction to Inverse Problems in Imaging, M. Bertero , P. Boccacci , C. De Mol, Taylor & Francis.
Programmazione del corso
| Argomenti | Riferimenti testi | |
|---|---|---|
| 1 | Introduction to elementary concepts of radars | §§ 1.1-1.4 [1] |
| 2 | Radar Equation(s) for typical radar topology and configurations. | § 4.1 [1] |
| 3 | Overview and applications of radar and introduction to array antenna through DoA | slide docente |
| 4 | Introduction to Antenna (reflection coefficient and pattern features), Linear Array, Array Factor, and Beam Steering | § 6 [4] and slide docente |
| 5 | Laboratory lesson on array matlab toolbox | slide docente |
| 6 | Radar Waveform and power associated, istantaneous power, averaged peak power, averaged trasmitted power | § 1.5 [1] |
| 7 | Doppler shift derivation and received waveform | § 1.6 [1] § 1.2 [3] |
| 8 | Laboratory on antennas reflection coefficient, pattern and polarization measurement in anechoic chamber | |
| 9 | Laboratory on matlab on radar elementary concept: doppler and range resolution | slide docente |
| 10 | Scattering cross section, total scattering cross section and radar cross section | § 5.1 [1] |
| 11 | Radar cross section and polarization efficiency, examples on RCS and exercize on doppler shift | § 3.4 [1] |
| 12 | Modelling of noise in radar receiver. Noise temperature. Incremental modelling in a small bandwith. | §§ 4.3-4.4 [1] |
| 13 | Noisy network and equivalent noiseless networks. Noise sources. Cascade networks property and noise figures. | §§ 4.3-4.4 [1] |
| 14 | Overall radar receiver noise modelling. Antenna noise temperature. | §§ 4.5-4.6 [1] |
| 15 | General expression of most radar waveform. Real, complex and analytic signal. | § 6.1 [1] |
| 16 | Networks properties and relationship between real and analytical signal. | § 6.2 [1] |
| 17 | Analytic filter and matched filter condition. | § 6.3 [1] |
| 18 | Output of the matched filter for analityc and real signal for white gaussian noise. | § 6.6 [1] |
| 19 | Laboratory and exercises on noise figure, noise temperature and radar equation | slide docente |
| 20 | Effect of target motion on radar signal | § 1.6 [1] |
| 21 | Meaning of the ambiguity function and matched filter. Unambiguous range and range resolution. Pulse compression motivation. | § 6.8 [1] |
| 22 | Single pulse radar dection. | § 3.1 [3] |
| 23 | Matched filter and ambiguity function (rect, gaussian, lfm chirp) | § 7.1-7.2 e slide docente |
| 24 | Introduction to inverse problems in imaging | slide docente |
| 25 | DoA estimation problem formulation and algrithms, MUSIC BARTELETT AND CS | slide docente |
| 26 | Laboratory on DoA estimation | slide docente and matlab code |
| 27 | Microwave imaging problem formulation and weak scattering linearization | slide docente |
| 28 | Coherent and non-coherent pulse integration | § 3.2 [3] |
| 29 | Multiple scattering and Swerling type fluctuating targets. Scattering equations | § 2.6 [3] |
| 30 | Pulsed radar doppler and range. DFT implemetation | § 10.1 [3] |
| 31 | Introduction to clutter and multipath in radar | § 4 [3] |
| 32 | FMCW radar | slide docente |