Vector-Sensor Algorithms for Source Tracking and Jam-Free Navigation
Abstract
We obtained the following results, according to research areas. Performance Bounds: Gene al bounds on the mean-square errors for discrete-time nonlinear filtering and for estimating general vector systems. EM arrays: Methods for target tracking, direction estimation, and interference cancellation, with passive EM vector sensors; detecting the wake of a ship using an airborne SQUID magnetic transducer; estimating range, velocity, and direction with active radar array; equalizing and estimating channels with communication antenna arrays in spatially correlated noise. Acoustic arrays: Beamforming using acoustic vector sensors (AVS's); fast wideband algorithms for locating airborne targets using a passive distributed array of AVS's; direction finding with an AVS array near a reflecting boundary; analysis of cross-correlations between wide-band noise components of an AVS. Chemical arrays: Methods for automatic environmental monitoring and land-mine detection and localization using chemical sensor arrays. Biomedicine: Estimating evoked dipole responses, and tracking a dynamic source with EEG/MEG sensor arrays; estimating mechanical properties of the heart using tagged-MRI; adaptive hearing aids.
Document Details
- Document Type
- Technical Report
- Publication Date
- Aug 01, 2000
- Accession Number
- ADA384918
Entities
People
- Arye Nehorai
Organizations
- University of Illinois at Chicago