Radar Array Signal Processing in the Presence of Scattering Effects
Abstract
We developed statistical time-reversal imaging and Cramer-Rao bounds (ORB's) for point targets and scatterers; realistic clutter modeling, random scattering reflections, compound Gaussian distributions, and signal dependence; maximum likelihood estimators, CRB's, and sequential target detectors in compoun%Gaussian clutter; polarimetric radar algorithms for detectingltracking targets in clutter; microstrip antennas design with suppressed radiation in horizontal directions and reduced coupling, and 6D vector antenna; optimal synthesis of a directional beam with full polarization control; estimated building layouts and objects behind walls using exterior radar measurements and EM modeling; robust least-squares beamformers (spatial filters) for estimating unknown source signals under steering vector uncertainties; tight lower bounds on the mean-square error (MSE) of estimating multiple change points of measurement models; unification of minimal Bayesian bounds on the MSE of estimators; performance bounds on image registration useful for optimum design of registration algorithms; image reconstruction method for diffuse optical tomography; electromagnetic inverse solutions based on Poisson oint 5 atial model for estimatin unknown source e. ., brain Si nals.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jan 15, 2008
- Accession Number
- ADA476578
Entities
People
- Arye Nehorai
Organizations
- University of Illinois at Chicago