Course Programme
EITN90 Radar and Remote Sensing, 2018/2019
The lectures, workshops, and labs are planned as follows. The lecture notes are from last year's course, and will be subject to minor updates as the course progresses.
Date | Topic | Material | |
Lec1 | 22/1 | Introduction, course overview |
Ch 1 Introduction and Radar Overview |
Lec2 | 23/1 | Radar range equation, signal to noise ratio, basic search and detection |
Ch 2 The Radar Range Equation |
W1 | 25/1 | Problem solving workshop | Problems from the chapters |
Lec3 | 29/1 | Propagation effects, atmosphere model, attenuation, absorption, refraction, ducting, turbulence, ionospheric effects, diffraction, multipath, roughness |
Ch 4 Propagation Effects and Mechanisms |
Lec4 | 30/1 | Phenomenology of clutter, land and sea clutter, precipitation, clutter modeling |
Ch 5 Characteristics of Clutter |
Lab1 | 1/2 | 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 | 5/2 |
Reflection physics, reflection coefficient, polarization, RCS definition, scattering matrix, scattering regimes, scattering phenomenology |
Ch 6 Target Reflectivity |
Lec6 | 6/2 | RCS of simple targets, RCS of complex targets, statistical models |
Ch 7 Target Fluctuation Models |
W2 | 8/2 | Problem solving workshop | Problems from the chapters |
Lec7 | 12/2 | Doppler shift, Fourier analysis, spectrum of pulsed signals, I/Q channels, ambiguity |
Ch 8 Doppler Phenomenology and Data Acquisition |
Lec8 | 13/2 | Antenna concepts: beamwidth, directivity, gain, return loss, arrays |
Ch 9 Radar Antennas |
Lab2 | 15/2 | 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 | 19/2 |
Transmitter configurations, power sources and amplifiers, modulators |
Ch 10 Radar Transmitters |
Lec10 | 20/2 | Machine learning approaches to radar signal analysis | Lecture notes and papers referenced therein |
W3 | 22/2 | Problem solving workshop | Problems from the chapters |
Lec11 | 26/2 | Matched filter, pulse compression, matched filter implementation, ambiguity function |
Ch 20 Fundamentals of Pulse Compression Waveforms Matlab script for plotting ambiguity function |
26/2 | Deadline to submit short description of project at http://elearning.eit.lth.se/moodle/ | ||
Lec12 | 27/2 | Resolution and sampling requirements, coordinate systems, data collection, image formation |
Ch 21 An Overview of Radar Imaging |
Lab3 | 1/3 | Principles of SAR |
Synthesizing images from radar measurements in matlab |
Lec13 | 5/3 | Physics of remote sensing, typical scattering features, rough surfaces |
J. A. Richards (2009), Remote Sensing with Imaging Radar |
Lec14 | 6/3 | Guest lectures from industry. | Axis AB and Acconeer AB, two local companies with radar activities. On Axis site, starting with lunch at 12. Sign up with Daniel. |
W4 | 8/3 | Work with the project | |
Pres. | 11/3 |
Presentation of projects. E:2517 at 13-17 |