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
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.
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
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