Kursprogram
The lectures, workshops, and labs are planned as follows. The lecture notes are similar to last year's course, and will be subject to minor updates as the course progresses.
| Date | Topic | Material | |
| Lec1 | 21/1 | Introduction, course overview |
Ch 1 Introduction and Radar Overview |
| Lec2 | 22/1 | Radar range equation, signal to noise ratio, basic search and detection |
Ch 2 The Radar Range Equation |
| W1 | 24/1 | Problem solving workshop | Problems from the chapters |
| Lec3 | 28/1 | Propagation effects, atmosphere model, attenuation, absorption, refraction, ducting, turbulence, ionospheric effects, diffraction, multipath, roughness |
Ch 4 Propagation Effects and Mechanisms |
| Lec4 | 29/1 | Phenomenology of clutter, land and sea clutter, precipitation, clutter modeling |
Ch 5 Characteristics of Clutter |
| Lab1 | 31/1 | Time-of-flight radar/sonar |
Arduino board, ultrasound sensor, stepper motor Lab instructions Supplementary material, only if you want to build the equipment your self: |
| Lec5 | 4/2 |
Reflection physics, reflection coefficient, polarization, RCS definition, scattering matrix, scattering regimes, scattering phenomenology |
Ch 6 Target Reflectivity |
| Lec6 | 5/2 | RCS of simple targets, RCS of complex targets, statistical models |
Ch 7 Target Fluctuation Models |
| W2 | 7/2 | Problem solving workshop | Problems from the chapters |
| Lec7 | 11/2 | Doppler shift, Fourier analysis, spectrum of pulsed signals, I/Q channels, ambiguity |
Ch 8 Doppler Phenomenology and Data Acquisition |
| Lec8 | 12/2 | Antenna concepts: beamwidth, directivity, gain, return loss, arrays |
Ch 9 Radar Antennas |
| Lab2 | 14/2 | Frequency modulated continuous wave (FMCW) radar |
Raspberry Pi board, AD/DA extension card, Innosent radar module Lab instructions, doppler.py, fmcw.py, fmcw.c Datasheets: IVS-162, Application Note II, LM358 Supplementary material, if you want to build the equipment your self: assembly instructions |
| Lec9 | 18/2 |
Transmitter configurations, power sources and amplifiers, modulators |
Ch 10 Radar Transmitters |
| Lec10 | 19/2 | Machine learning approaches to radar signal analysis |
Lecture notes and papers referenced therein |
| W3 | 21/2 | Problem solving workshop | Problems from the chapters |
| Lec11 | 25/2 | Matched filter, pulse compression, matched filter implementation, ambiguity function |
Ch 20 Fundamentals of Pulse Compression Waveforms Matlab script for plotting ambiguity function |
| Lec12 | 26/2 | Resolution and sampling requirements, coordinate systems, data collection, image formation |
Ch 21 An Overview of Radar Imaging |
| Lab3 | 28/2 | Principles of SAR |
Synthesizing images from radar measurements in matlab |
| Lec13 | 3/3 | Physics of remote sensing, typical scattering features, rough surfaces |
J. A. Richards (2009), Remote Sensing with Imaging Radar |
| Lec14 | 4/3 | Guest lectures from industry. | On Axis site, meet up at 12.55 in the reception. |
| W4 | 6/3 | Work with the project | |
| Pres. | 9/3 |
Presentation of projects. E:2517 at 15-17 |