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Selected Topics in ASC - Array Signal Processing (ASP)- Lecturers
- Sharon Gannot, Dr.-Ing. Heinrich Löllmann, Akad. Rat
- Details
- Vorlesung
3 cred.h, ECTS studies, ECTS credits: 5
nur Fachstudium, Sprache Englisch, Gastvorlesung (Guest lecture)
Time and place: Mon, Fri 8:15 - 9:45, 16:15 - 17:45, room tbd; Thu 12:15 - 13:45, room tbd; single appointment on 8.7.2017 9:00 - 10:30, 10:45 - 12:15, room tbd; comments on time and place: Room 00.071 (Wetterkreuz 15, Erlangen-Tennenlohe) with the exception of the lecture at Th., July 20th which takes place in the room 00.055
from 3.7.2017 to 27.7.2017
- Fields of study
- WPF ASC-MA 1-4 (ECTS-Credits: 5)
WPF CME-MA 1-4 (ECTS-Credits: 5)
- Prerequisites / Organisational information
- The lecture Statistical Signal Processing should be attended.
- Contents
- Fundamentals:
Definitions, Beamforming, directivity pattern. Performance criteria (beam-width, sidelobes). Snapshots and spatial correlation matrix. Linear arrays as sampling of continuous aperture sensor, wideband signals and nested arrays. Optimal array processors:
Minimum variance distortionless response (MVDR, Capon), Minimum power distortionless response (MPDR), Maximum SNR, MMSE beamformer
Linearly constrained minimum variance (LCMV). Influence of multi-path. Array characteristics:
Sensitivity and robustness. Superdirective beamformer. Adaptive spatial filtering:
Frost method, generalized sidelobe canceller (GSC). Localization:
Maximum likelihood estimation, resolution, Cramér-Rao lower bound. Bartlett method, method based on eigen-decomposition (if time permits): Pisarenko, MUSIC, ESPRIT. MVDR estimation. Performance evaluation (e.g. resolution) and comparison.
- Recommended literature
- Harry L. Van Trees, "Optimum Array Processing" (Detection, Estimation, and Modulation Theory, Part IV), Wiley, 2002.
- ECTS information:
- Title:
- Array Signal Processing
- Credits: 5
- Prerequisites
- The lecture Statistical Signal Processing should be attended.
- Contents
- Fundamentals:
Definitions, Beamforming, directivity pattern. Performance criteria (beam-width, sidelobes). Snapshots and spatial correlation matrix. Linear arrays as sampling of continuous aperture sensor, wideband signals and nested arrays. Optimal array processors:
Minimum variance distortionless response (MVDR, Capon), Minimum power distortionless response (MPDR), Maximum SNR, MMSE beamformer
Linearly constrained minimum variance (LCMV). Influence of multi-path. Array characteristics:
Sensitivity and robustness. Superdirective beamformer. Adaptive spatial filtering:
Frost method, generalized sidelobe canceller (GSC). Localization:
Maximum likelihood estimation, resolution, Cramér-Rao lower bound. Bartlett method, method based on eigen-decomposition (if time permits): Pisarenko, MUSIC, ESPRIT. MVDR estimation. Performance evaluation (e.g. resolution) and comparison.
- Additional information
- Expected participants: 15, Maximale Teilnehmerzahl: 15
- Verwendung in folgenden UnivIS-Modulen
- Startsemester SS 2017:
- Selected Topics in ASC (STASC)
- Selected Topics in Signal Processing and Communications (STSIPC)
- Department: Chair of Multimedia Communications and Signal Processing (Prof. Dr. Kaup)
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