Electrical and Information Technology

Faculty of Engineering LTH | Lund University

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
Problems: 1.1, 1.6 (answer: 0.0025 W/m2), 1.7, 1.11, 1.13, 1.17

Lecture notes

Lec2 23/1 Radar range equation, signal to noise ratio, basic search and detection

Ch 2 The Radar Range Equation
Problems: 2.1, 2.5, 2.9, 2.11, 2.13
Ch 3 Radar Search and Overview of Detection in Interferences
Problems: 3.1, 3.5, 3.7, 3.13, 3.15 (use PD=0.949 and PFA=1.49e-4 for 2-of-4 processing)

Lecture notes

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
Problems: 4.1, 4.3, 4.5 (answer: approximately 0.02 dB/km), 4.9, 4.15

Lecture notes

Lec4 30/1 Phenomenology of clutter, land and sea clutter, precipitation, clutter modeling

Ch 5 Characteristics of Clutter
Problems: 5.1 (answer: 15.3 degrees at 10 km, 53,9 degrees at 50km), 5.5 (answer: 22.0 and 2.15 degrees for 10 GHz, N/A (smooth at all angles) and 22.0 degrees for 1 GHz, 6.15 and 0.614 degrees for 35 GHz), 5.6, 5.8 (answer: 30 at both 1 kHz and 5 kHz, 3.75 at 40 kHz)

Lecture notes

Lab1 1/2 Time-of-flight radar/sonar

Arduino board, ultrasound sensor, stepper motor

Lab instructions
range.ino, datasheet
scanningradar.ino, radar.m

Supplementary material, only if you want to build the equipment your self:
assembly instructions
sensorholder.scad, servo_ping_holder.scad
scanningradar.scad, arduino.scad

Lec5 5/2

Reflection physics, reflection coefficient, polarization, RCS definition, scattering matrix, scattering regimes, scattering phenomenology

Ch 6 Target Reflectivity
Problems: 6.1, 6.7, 6.8, 6.10, 6.16, 6.21 (answer: very little), 6.24 (answer: determine in which directions specular reflection is not desirable, then make sure no surface has a normal to that direction; you should also avoid any corner reflectors)

Lecture notes

Lec6 6/2 RCS of simple targets, RCS of complex targets, statistical models

Ch 7 Target Fluctuation Models
Problems: 7.1, 7.3, 7.7, 7.9, 7.10 (answer: 25), 7.11

Lecture notes

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
Problems: 8.1, 8.5, 8.9 (answer: 1.5 km, 333 Hz, 15 km, 5 kHz), 8.13, 8.17

Lecture notes

Lec8 13/2 Antenna concepts: beamwidth, directivity, gain, return loss, arrays

Ch 9 Radar Antennas
Problems: 9.3, 9.6 (answer: power increase by factor 16, aperture area increase by factor of 4), 9.9, 9.11

Lecture notes

Project instructions

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
Receiver types, demodulation, noise, dynamic range, AD conversion

Ch 10 Radar Transmitters
Problems: 10.1, 10.12, 10.15 (answer: a, c, d), 10.16 (answer: a, b)
Ch 11 Radar Receivers
Problems: 11.2, 11.3, 11.7 (misprinted minus sign in answer), 11.11, 11.13

Lecture notes

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
Problems: 20.1, 20.4, 20.5, 20.9

Lecture notes
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
Problems: 21.1, 21.3, 21.5, 21.7

Lecture notes
Lab3 1/3  Principles of SAR

Synthesizing images from radar measurements in matlab

Lab instructions

Lec13 5/3 Physics of remote sensing, typical scattering features, rough surfaces

J. A. Richards (2009), Remote Sensing with Imaging Radar
Ch 5 Scattering from Earth Surface Features
Ch 9 Passive Microwave Imaging

Lecture notes

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

List of projects and who to send it to

Feedback form

Course evaluation form