Course Programme

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 Problems: 1.1, 1.6 (answer: 0.0025 W/m²), 1.7, 1.11, 1.13, 1.17 Lecture notes
Lec2	22/1	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 P_D=0.949 and P_FA=1.49e-4 for 2-of-4 processing) Lecture notes
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 Problems: 4.1, 4.3, 4.5 (answer: approximately 0.02 dB/km), 4.9, 4.15 Lecture notes
Lec4	29/1	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	31/1	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	4/2	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	5/2	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	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 Problems: 8.1, 8.5, 8.9 (answer: 1.5 km, 333 Hz, 15 km, 5 kHz), 8.13, 8.17 Lecture notes
Lec8	12/2	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
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 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	19/2	Machine learning approaches to radar signal analysis	Lecture notes and papers referenced therein Project instructions
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 Problems: 20.1, 20.4, 20.5, 20.9 Lecture notes 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 Problems: 21.1, 21.3, 21.5, 21.7 Lecture notes
Lab3	28/2	Principles of SAR	Synthesizing images from radar measurements in matlab Lab instructions

Lec13	3/3	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	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	Feedback form Course evaluation form

Electrical and Information Technology

Faculty of Engineering LTH | Lund University

Course Programme