Graduate study programme

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Sonar computing DR4I-08

ECTS 5 | P 30 | A 0 | L 30 | K 0 | ISVU 115918 149815 | Academic year: 2018./2019.

Course groups

Prikaži sve grupe na predmetu

Course lecturers

ALEKSI IVAN, Lecturer

Goals

Introduce students to the basics of sonar system design and skills to reconstruct the surface and image of underwater objects using the sonar signal. Introduce procedures for displaying signal spectrum, digital filtering of 1D and 2D sonar signals, creating 2D and 3D submarine images, designing an antenna or transceiver field, displaying antenna radiation, emitting and wave simulation, sonar image processing, and submarine mining in sonar images.

Conditions for enrollment

Requirements met for enrolling in the second year of the study programme

Course description

Mathematical models of underwater media for wave transmission. Diffusion simulation of wave transmission and sampling. Transformation of coordinates between coordinates of the environment, sonar and diver. Application of 3D computer models for simulation of underwater reconstruction. Computer models of hulls and naval ports. Simulation of hull reconstruction. Algorithms for creating 2D and 3D underwater images by changing the sonar system. Calculating linear field radiation graphs of underwater transmitters. Digital FIR filters for bandwidth limited signal. Filtering methods 1D and 2D sonar signals. Quadrature demodulation procedures. Methods of forming antenna air in the time and frequency domain. Calculate distance of objects in close and far field. View the environment using point clouds. The colouring of point clouds by intensity and distance. Orthographic projection of 3D clouds of points on a 2D image. Sonar for detecting underwater mines. Segmentation of objects in sonar images. Segmentation of underwater mine in sonar images.

Student requirements

Defined by the Student evaluation criteria of the Faculty of Electrical Engineering, Computer Science and Information Technology Osijek and paragraph 1.9

Monitoring of students

Defined by the Student evaluation criteria of the Faculty of Electrical Engineering, Computer Science and Information Technology Osijek and paragraph 1.9

Obligatory literature

1. 1 A.D.Waite SONAR for Practicing Engineers, Third edition John Wiley & Sons, Ltd. 2002, ISBN10: 0-471-49750-9.


Pretraži literaturu na:

Recommended additional literature

1. 1 Uvais Qidwai and C.H. Chen Digital Image Processing, An Algorithmic Approach With MATLAB Chapman & Hall, 2010. ISBN13: 978-1-4200-7950-0.

2. 2 E. Oran Brigham The Fast Fourier Transform And Its Applications Prentice Hall, 1988. ISBN10: 0-13-307505-2.

3. 3 Zdenko Kovačić, Stjepan Bogdan, Vesna Krajči Osnove robotike Graphis, Zagreb, 2002. ISBN10: 953-6647-29-X.

4. 4 William S. Burdic Underwater Acoustic System Analysis Prentice Hall, 1984. ISBN10: 0-13-936716-0.

5. 5 Philippe Blondel The Handbook of Sidescan SONAR Springer-Praxis Publisching, 2009. ISBN13: 978-3-540-42641-7.

Course assessment

Conducting university questionnaires on teachers (student-teacher relationship, transparency of assessment criteria, motivation for teaching, teaching clarity, etc.). Conducting Faculty surveys on courses (upon passing the exam, student self-assessment of the adopted learning outcomes and student workload in relation to the number of ECTS credits allocated to activities and courses as a whole).

Overview of course assesment

Learning outcomes
Upon successful completion of the course, students will be able to:

1. define and explain the characteristics of the sonar and its environment

2. describe methods of digital signal processing sonar

3. create a software solution for creating images using sonar

4. validate and compare different methods and sonar models

5. develop and apply different methods and models of sonar in the MATLAB and C ++ programming environment



Aktivnosti studenta:

Student's activity Workload ECTS (Workload/30) Learning outcomes
Upon successful completion of the course, students will be able to:
Teaching
method
Assessment method Points
Pohađanje Predavanja (PR), Laboratorijske vježbe (LV)451.51,2,3,4,5Predavanja (PR), Laboratorijske vježbe (LV)Predavanja (PR), Laboratorijske vježbe (LV)010
Pisanje priprema za LV, analiza rezultata, te pisanje izvještaja3013,4,5Laboratorijske vježbe (LV)Provjera pripreme za LV, nadzor provođenja LV-a, provjera napisanih izvještaja025
Priprema za usmeni ispit i usmeno odgovaranje na pitanja451.51,2,4Usmeni ispitProvjera danih odgovora2550
Seminarski rad3011,2,3,4,5SeminarProvjera riješenih zadataka1015