IN9450 – Array Signal Processing
Course description
Course content
The topic is spatial signal processing with emphasis on imaging systems and direction of arrival estimation. The course puts emphasis on the difference between spatial domain and time domain signal processing. It provides an in-depth review of classical and adaptive array processing techniques in the temporal and Fourier domains and gives an overview of their use in several application areas.
Learning outcome
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. Coherence-based image reconstruction methods.
- Adaptive beamforming: Beampattern optimization, eigenanalysis methods, and how to assess the algorithm performance.
- Applications: Examples will be given from acoustic imaging, synthetic aperture sonar/radar, and tomography, among others. You will learn about central wave propagation and simulation concepts.
- 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
IN3190 – Digital Signal Processing/IN4190 – Digital Signal Processing, MAT1120 – Linear Algebra, IN1910 – Programming with Scientific Applications/IN1010 – Object-oriented Programming and IN3015 – Ultrasound Imaging/IN4015
Overlapping courses
- 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).
Teaching
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.
You should familiarize yourself with the rules that apply to?the use of sources and citations. If you violate the rules, you may be suspected of?cheating/attempted cheating.
Examination
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.
Grading scale
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.
More about examinations at UiO
- Use of sources and citations
- Special exam arrangements due to individual needs
- Withdrawal from an exam
- Illness at exams / postponed exams
- Explanation of grades and appeals
- Resitting an exam
- Cheating/attempted cheating
You will find further guides and resources at the web page on examinations at UiO.