IN9450 – Array Signal Processing
Changes in the course due to coronavirus
Autumn 2020 and Spring 2021 the exams of most courses at the MN Faculty will be conducted as digital home exams or oral exams, using the normal grading scale. The semester page for your course will be updated with any changes in the form of examination.
Please note that there may be changes in the form of examination for some courses taught Spring 2021. We aim to bring both the course description and the semester page of all courses up to date with correct information by 1 February 2021.
The topic is spatial signal processing with emphasis on imaging systems and direction of arrival estimation. The course put emphasis on the difference between spatial and time domain signal processing. It provides an in-depth review of classical and adaptive array processing techniques in time and Fourier domain and give an overview of their use in different application areas.
After completing this course, you will have an understanding of:
- Apertures and Arrays: Finite apertures, resolution, spatial sampling and arrays of discrete sensors, sidelobes and grating lobes.
- Beamforming: Delay-and-sum and frequency-domain beamforming, array gain and effects of finite accuracies.
- Adaptive beamforming: Optimization of beampattern, eigenanalysis methods, and how to assess the algorithms performance.
- Applications: Examples will be given from acoustic imaging, synthetic aperture sonar/radar, and tomography among others.
- Current research: Know how the theory explained is used in current research and have an overview of the research performed within this field at the Department.
Admission to the course
PhD candidates from the University of Oslo should apply for classes and register for examinations through Studentweb.
If a course has limited intake capacity, priority will be given to PhD candidates who follow an individual education plan where this particular course is included. Some national researchers’ schools may have specific rules for ranking applicants for courses with limited intake capacity.
PhD candidates who have been admitted to another higher education institution must apply for a position as a visiting student within a given deadline.
Recommended previous knowledge
INF3470 - Digital signalbehandling/INF4470 - Digital signalbehandling, MAT1120 - Linear algebra, IN1910 - Programming with Scientific Applications/IN1010 - Object-oriented Programming and IN4010 - Acoustic Imaging
- 10 credits overlap with IN5450 – Array Signal Processing.
- 6 credits overlap with INF5410 – Signal processing in space and time (continued).
- 6 credits overlap with INF9410 – Space-time signal processing (continued).
4 hours of tuition per week that will be a mix of lectures and plenary review of exercises, etc.
The mandatory assignments must be approved prior to the exam. Approval of a mandatory assignment is only valid for the same year as the assignment is submitted. Rules for mandatory assignments. Note that the assignments in IN9450 will be more extensive than the ones in IN5450.
Oral Exam (or written if the student number is high).
It will also be counted as one of your three attempts to sit the exam for this course, if you sit the exam for one of the following courses: IN5450 – Array Signal Processing
Examination support material
No examination support material is allowed.
Language of examination
You may write your examination paper in Norwegian, Swedish, Danish or English.
Grades are awarded on a pass/fail scale. Read more about the grading system.
Resit an examination
Students who can document a valid reason for absence from the regular examination are offered a postponed examination at the beginning of the next semester. Re-scheduled examinations are not offered to students who withdraw during, or did not pass the original examination.