Menu
Search
Search form
ECE Course Syllabus
ECE6279 Course Syllabus
ECE6279
Spatial Array Processing (3-0-3)
- Prerequisites
- ECE 4270
- Corequisites
- None
- Catalog Description
- Introduce application areas where signals are sampled over space and time. Transfer knowledge of time-based techniques to spatial processing. Develop algorithms unique to spatial processing.
- Textbook(s)
- Johnson & Dugeon, Array Signal Processing: Concepts and Techniques, Prentice Hall, 1993. ISBN 9780130485137 (required)
- Topical Outline
Introduction Sensor Arrays, Angle-of-Arrival, and Digital Beamforming Linear Algebra via MATLAB Space-Time Signals Multi-Dimensional Fourier Transform Plane Wave Decomposition; Resolution, Spatial Aliasing Beam Pattern Synthesis via FIR Filter Design Spatial Spectrum Analysis: f-k Domain Velocity Analysis Phase Velocity, Group Velocity, Dispersion Fan Filter Design via Multi-Dimensional Filter Design Beamforming Time-Domain: Delay-and-Sum, Interpolation Frequency Domain: Phase Steer Maximizing Array Gain DFT Beamforming: ``Beam' Space Optimal (Least-Squares) Array Processing Spatial Spectral Correlation Matrix MVE: Minimum Variance Estimation Coherent Interference, Sub-array Averaging Array Geometry: Sparse Arrays Modeling Plane Waves in Noise: Prony, IQML Signal and Noise Sub-Spaces; Eigenvector Techniques Singular Value Decomposition Adaptive (Antenna) Arrays LMS: Least Mean-Square Iteration Adaptive Nulling, Constrained LMS Generalized Sidelobe Canceller, Blocking Matrix Partially Adaptive Arrays, Beam-Space Adaptation RLS: Recursive Least-Squares Array Imaging Reconstruction from Projections Synthetic Aperture (Radar or Sonar) Spotlight & Stripmap Migration Wideband Beamforming: Space-Time Adaptive Processing (STAP) Applications Radar Wireless Communications Geophysics Medical
Georgia Tech Resources
Visitor Resources
- YouTube
© 2021 Georgia Institute of Technology