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Sensor Array Systems, 6 credits
, 6 hp
TSKS17
Main field of study
Electrical EngineeringCourse level
Second cycleCourse type
Programme courseEducation components
Preliminary scheduled hours: 0 hRecommended self-study hours: 160 h
Available for exchange students
YesECV = Elective / Compulsory / Voluntary
The course syllabus is preliminary
Main field of study
Electrical EngineeringCourse level
Second cycleAdvancement level
A1NCourse offered for
- Master of Science in Applied Physics and Electrical Engineering - International
- Master of Science in Applied Physics and Electrical Engineering
- Master's Programme in Data Science and Information Engineering
- Master of Science in Electronics Design Engineering
Prerequisites
Linear algebra, basic probability theory, a related course on signals and systems, programming skills.
Intended learning outcomes
After passing the course, students should be able to:
- Explain, describe, or summarize fundamental concepts related to sensor array systems, including principles of radar systems and advanced topics on MIMO radars and SARs, and techniques related to array signal processing.
- Critically think, interpret, and apply the concepts related to sensor array systems to fictional or real-world problems and perform related calculations.
- Formulate original algorithmic solutions for problems related to the course contents and implement those in conventional programming language and be able to explain and report.
Course content
Part I: Sensor array systems
- Introduction to sensor array systems and applications.
- Radar system principles: The radar concept, basic radar configurations and waveforms, basic radar measurements and functions, the radar range equation.
- Propagation effects and mechanisms, characteristics of clutter, target reflectivity, and fluctuating models.
- Radar subsystems: Antennas, transmitters, receivers, exciters, and signal processor.
- Radar measurements: Time delay and range estimation, angle estimation, and angle-Dopppler estimation using array measurements.
- Advanced topics: MIMO radar and synthetic aperture radar (SAR).
Part II: Array signal processing
- Overview of wavefields and wave propagation
- Spatial processing techniques: Aperture and arrays, parametric and nonparametric, beamforming, subspace-based methods.
- Adaptive array processing techniques.
Teaching and working methods
Teaching is given as lectures, tutorials, and laboratory project.
Examination
| TEN1 | Written examination | 4 credits | U, 3, 4, 5 |
| LAB1 | Laboratory work | 2 credits | U, G |
Grades
Four-grade scale, LiU, U, 3, 4, 5Department
Institutionen för systemteknik| Code | Name | Scope | Grading scale |
|---|---|---|---|
| TEN1 | Written examination | 4 credits | U, 3, 4, 5 |
| LAB1 | Laboratory work | 2 credits | U, G |
Course literature is preliminary.
There is no course literature available for this course in studieinfo.
Note: The course matrix might contain more information in Swedish.
I = Introduce, U = Teach, A = Utilize
| I | U | A | Modules | Comment | ||
|---|---|---|---|---|---|---|
| 1. DISCIPLINARY KNOWLEDGE AND REASONING | ||||||
| 1.1 Knowledge of underlying mathematics and science (courses on G1X-level) |
|
X
|
X
|
TEN1
|
Methematical analysis, linear algebra, optimization, probability theory |
|
| 1.2 Fundamental engineering knowledge (courses on G1X-level) |
|
X
|
X
|
TEN1
LAB1
|
Programming skills |
|
| 1.3 Further knowledge, methods and tools in any of : mathematics, natural sciences, engineering (courses at G2X level) |
|
X
|
X
|
TEN1
LAB1
|
Signals and sytems |
|
| 1.4 Advanced knowledge, methods and tools in any of: mathematics, natural sciences, engineering (courses at A1X level) |
|
X
|
X
|
TEN1
LAB1
|
Understanding of fundamentals of wave propagation, radar concepts and techniques, radar sybsystems and array signal processing. |
|
| 1.5 Insight into current research and development work |
X
|
|
|
|||
| 2. PERSONAL AND PROFESSIONAL SKILLS AND ATTRIBUTES | ||||||
| 2.1 Analytical reasoning and problem solving |
|
X
|
X
|
TEN1
LAB1
|
||
| 2.2 Experimentation, investigation, and knowledge discovery |
|
X
|
X
|
LAB1
|
||
| 2.3 System thinking |
|
X
|
X
|
TEN1
LAB1
|
||
| 2.4 Attitudes, thought, and learning |
|
X
|
X
|
TEN1
LAB1
|
||
| 2.5 Ethics, equity, and other responsibilities |
|
|
X
|
TEN1
LAB1
|
||
| 3. INTERPERSONAL SKILLS: TEAMWORK AND COMMUNICATION | ||||||
| 3.1 Teamwork |
|
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| 3.2 Communications |
|
|
X
|
LAB1
|
Written and oral examination of the results from lab exercises. |
|
| 3.3 Communication in foreign languages |
|
|
X
|
TEN1
LAB1
|
Course literature, teaching and examination is in English. |
|
| 4. CONCEIVING, DESIGNING, IMPLEMENTING AND OPERATING SYSTEMS IN THE ENTERPRISE, SOCIETAL AND ENVIRONMENTAL CONTEXT | ||||||
| 4.1 Societal conditions, including economically, socially and ecologically sustainable development |
|
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| 4.2 Enterprise and business context |
|
|
|
|||
| 4.3 Conceiving, system engineering and management |
|
X
|
X
|
LAB1
|
Design and evaluation of more practical aspects of radar systems |
|
| 4.4 Designing |
|
|
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| 4.5 Implementing |
|
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| 4.6 Operating |
|
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| 5. PLANNING, EXECUTION AND PRESENTATION OF RESEARCH DEVELOPMENT PROJECTS WITH RESPECT TO SCIENTIFIC AND SOCIETAL NEEDS AND REQUIREMENTS | ||||||
| 5.1 Societal conditions, including economically, socially and ecologically sustainable development within research or development projects |
|
|
|
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| 5.2 Economic conditions for research or development projects |
|
|
|
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| 5.3 Identification of needs, structuring and planning of research or development projects |
|
X
|
X
|
LAB1
|
Development of lab project |
|
| 5.4 Execution of research or development projects |
|
X
|
X
|
LAB1
|
Development of lab project |
|
| 5.5 Presentation and evaluation of research or development projects |
|
X
|
X
|
LAB1
|
Reporting lab project |
|
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