15001 - Array Signal Processing Modulübersicht

Module Number: 15001
Module Title:Array Signal Processing
  Array-Signalverarbeitung
Department: Faculty 1 - Mathematics, Computer Science, Physics, Electrical Engineering and Information Technology
Responsible Staff Member:
  • Prof. Dr.-Ing. Gardill, Markus
Language of Teaching / Examination:English
Duration:1 semester
Frequency of Offer: Every winter semester
Credits: 6
Learning Outcome:

After successful completion of the module, students know the use of array signal processing for various applications such as radar, sonar, and communications technology. They will be able to design, analyze and evaluate different geometries of arrays. Students can reproduce and compare the fundamental signal models in array signal processing. They also know different algorithms for array signal processing and can apply them. The students can assign new methods in array signal processing.

Contents:
  • Applications of Array Signal Processing
  • Arrays and Spatial Filters
  • Linear Arrays and Apertures
  • Planar Arrays and Apertures
  • Space-Time Processes
  • Waveform-Estimation
  • Adaptive Beamforming
  • Parameter Estimation
  • Novel Methods

The contents are supplemented by solving problems and experiments in the exercise class.

Recommended Prerequisites:

Solid understanding of linear algebra, statistics, and probability theory

Mandatory Prerequisites:
  • No successful participation in module 14056 Array-Signalverarbeitung
Forms of Teaching and Proportion:
  • Lecture / 2 Hours per Week per Semester
  • Exercise / 2 Hours per Week per Semester
  • Seminar / 2 Hours per Week per Semester
  • Self organised studies / 90 Hours
Teaching Materials and Literature:
  • H. L. Van Trees, Optimum array processing. in Detection, estimation, and modulation theory, no. 4. New York: Wiley, 2022.
  • B. Friedlander, Ed., Classical and modern direction-of-arrival estimation. Amsterdam; Boston: Academic, 2009.
Module Examination:Prerequisite + Final Module Examination (MAP)
Assessment Mode for Module Examination:

Prerequisite:

  • Successful completion (at least 50%) of each exercise sheet

Final module examination:

  • Oral examination, 30-45 min. OR
  • Written examination, 90 min.

In the first lecture it will be announced, whether the examination will be in written or oral form.

Evaluation of Module Examination:Performance Verification – graded
Limited Number of Participants:None
Part of the Study Programme:
  • Master (research-oriented) / Artificial Intelligence / PO 2022 - 1. SÄ 2024
  • Master (research-oriented) / Micro- and Nanoelectronics / PO 2024
Remarks:
  • Study programme Micro- and Nanoelectronics M.Sc.: Compulsory elective module in complex „Applications"
  • Study programme Artificial Intelligence M.Sc.: Compulsory elective module in complex „Knowledge Acquisition, Representation and Processing"
Module Components:
  • Lecture: Array Signal Processing
  • Accompanying exercises
  • Accompanying seminar
  • Related examination
Components to be offered in the Current Semester:
  • no assignment