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Optics- and Radar-based Observations 7.5 Credits

Optik- och radarbaserad observationsteknik
Second cycle, F7003R
Course syllabus valid: Spring 2016 Sp 4 - Present
The version indicates the term and period for which this course syllabus is valid. The most recent version of the course syllabus is shown first.

Education level
Second cycle
Grade scale
G U 3 4 5
Space and Atmospeheric Science
Subject group (SCB)
Space Technology

Entry requirements

Courses of at least 90 credits at first cycle including the following knowledge/courses. Basic knowledge in mathematics, electromagnetism, Matlab programming. Courses in mathematics (M0018, M0031), physics (F1-3) and electronics for engineers are recommended.

More information about English language requirements


The selection is based on 20-285 credits

Course Aim

The student shall acquire knowledge about technical aspects of radar and optical systems as well as their scientific applications for geospheric research. This is shown by capability to describe and explain physical and technical principles of the radar and optical systems as well as capability to use these systems in order to plan and perform scientific experiments in space.

The student shall show capability to critically and independently formulate the problems as well as perform technical calculations for radar and optical systems within the given time frame. This is done via problem solving. The student shall be able to motivate, plan and perform scientific experiments with these systems during the practical work. The student shall be able to critically select and evaluate relevant scientific and technical information within the subject via the literature survey. Ability and skills to present own results and arguments during international events are evaluated via report writing in English. The student shall demonstrate social skills and be able to effectively work in a group during the practical work.

The student shall have insight about technical possibilities and limits as well as human responsibility for the way of their using. This is shown via evaluation of the relevant technological and ethic aspects.


Introduction to the radar systems. Radar equation. Radar targets. Information from the radar signals. Fundamentals of coherent and incoherent radar systems. Configuration of the radar system and optimisation. Radar hardware incl. antennas, transmitter, receiver. Signal processing and data analysis. Radar systems applications for space research.

Radiometry. Fundamentals of optical measurements. Optical technology. Overview of imaging detectors, intensifiers and filtres. Calibration. Scientific and technological applications.

In order to run the radar experiment specific software for EISCAT radar system is used. To work with the radar data processing a program MATLAB is used.


Lectures, project work and assignments that consider theoretical aspects, training in experimental techniques and technical report writing in English.

Written examination,  assignments, project. In order to pass the course it is required that examination and obligatory tasks are completely satisfactory. The final grade reflects the results obtained during compulsory moments of the course. The grading system for the course is: excellent (5), very good (4), , satisfactory (3),.

Victoria Barabash

Transition terms
The course F7003R is equal to RYM011

Literature. Valid from Spring 2016 Sp 4
Mark A. Richards, James A. Scheer, William A. Holm, Principles of Modern Radar, Vol.1, Scitech Publisging Inc., 2010, ISBN 978-1-891121-52-4

Röttger, The Instrumental Principles of MST Radars and Incoherent Scatter Radars and the Configuration of Radar System Hardware, Handbook for Map, Vol. 30, International School on Atmospheric Radar, p.54-113, 1989.

U. Brändström, The Auroral Large Imaging System Design, Operation and Scientific Results, IRF Scientific Report 279, 2003, ISSN: 0284-1703, ISBN: 91-7305-405-4.


M. Skolnik, Introduction to Radar Systems, 3rd edition, 2001, McGraw-Hill International Editions, ISBN 007-118189-X.

Course offered by
Department of Computer Science, Electrical and Space Engineering

0005Project work2.0U G#
0007Written exam3.5G U 3 4 5
0008Assignment work2.0U G#

Study guidance
Study guidance for the course is to be found in our learning platform Canvas before the course starts. Students applying for single subject courses get more information in the Welcome letter. You will find the learning platform via My LTU.

Syllabus established
by Hans Weber 11 Feb 2010

Last revised
by Jonny Johansson, HUL SRT 11 Jan 2016