Spatial Array Processing

ECE-595, Spatial Array Processing

Term: Fall 2006

Instructor: Balu Santhanam

Pre-requisites: ECE-439, ECE-340, Linear algebra,

Working knowledge of MATLAB

Course description:

space-time signal model, wave equations, 4D Fourier transforms,

spatial filtering, wave-number frequency response, beamforming, DOA estimation,

subspace methods, adaptive antenna arrays, generalized sidelobe canceler,

applications in radar systems, wireless communications

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Announcements :

There will be guest lecture by Prof. Marios Pattichis on the applications of array processing to biomedical imaging on 12/05/2006. Attendance is mandatory. The final project is due in my office on Dec 13 2006.

Course Materials:

Syllabus Final Exam Schedule Tutorial: Beamforming

Space-Time Signals & Linear Arrays

Notes: Space-Time Signals & Model Example:Dispersion Example: Separable Random Field Example: Spherical Symmetry Example: Isotropic Cylindrical Noise

Apertures & Arrays

Aperture Smoothing Function Example: Circular Aperture Example: Linear Array Example: Co-Array Computation

Beamforming & Space-Time Filtering

Conventional Beamforming On the Pereiodogram Array Gain Optimization Minimum Variance Beamforming More on Minimum Variance Beamforming Discrete TIme Beamforming

Subspace DOA Estimation & Constrained Optimization

Subspace DOA Estimation Comparison of MVDR and LP DOA Estimation Effect of Signal Coherence Constrained Optimization Robust Constrained Optimization

Problem Sets & Exams

Problem Set # 1.0 Solutions to PS # 1.0 Problem Set # 2.0 Solutions to Problem Set # 2.0 Problem Set # 3.0 Solutions to PS # 3.0 Problem Set # 4.0 Solutions to Problem Set # 4.0