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ECE Course Syllabus
ECE6279 Course Syllabus
ECE6279
Spatial Array Processing (3-0-3)
- Technical Interest
Group - Digital Signal Processing
- 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)
- Strategic
Performance
Indicators (SPIs) -
SPIs are a subset of the abilities a student will be able to demonstrate upon successfully completing the course.
- Topical Outline
1. Introduction a. Propagating Waves b. Wavenumber-Frequency Space c. Apertures 2. Conventional Beamforming a. Delay-and-Sum Beamforming (Plane Waves and Spherical Waves) b. Filter-and-Sum Beamforming c. Quadrature Demodulation d. Conventional Narrowband Beamforming e. Conventional Wideband Beamforming 3. Second-Order Statistical Modeling a. Stochastic Narrowband Models b. Signal to Noise Ratios c. Time Averaging d. Spatial Averaging and Co-arrays 4. Subspace Methods a. Constrained Optimization b. MVDR Beamforming c. Pisarenko Harmonic Decomposition d. Subspace Methods: Eigenvalue Method and MUSIC e. Root MUSIC f. ESPRIT g. Robust Constrained Estimation 5. Estimation-Theoretic Methods a. Introduction to Estimation Theory b. "Stochastic? and ?Deterministic? Signal Gaussian Models c. Maximum-Likelihood Estimation d. Introduction to Cramer-Rao Bounds e. Cramer-Rao Bounds for Arrays f. Transformations of Cramer-Rao Bounds g. Model Order Estimation h. Unconstrained Covariance Estimation
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