Nonlinear Filtering: Analysis and Numerical Methods
Abstract
In the research during the reporting period we focused on the following areas: (1) Nonlinear filtering for acutely maneuvering targets; (2) Development of banks of interacting Bayesian spatial-temporal matched filters for track-before-detect (TBD) based on nonlinear filtering techniques; (3) Development of adaptive spatial-temporal filters for clutter rejection and electronic scene stabilization; (4) Design of multi-hypothesis sequential tests for multi-sensor distributed systems with fusion of local decisions; (5) Wiener chaos expansion for nonlinear systems such with applications to filtering; and (6) Inverse problems for stochastic PDE. In addition. we have made substantial progress in the implementation of the developed algorithms. The Adaptive Spatial-Temporal Method for Clutter Rejection and Scene Stabilization and Switching Multiple Model Based TBD Algorithms were transferred to the SPAWAR Systems Center, San Diego, CA (POC: Dr.
Document Details
- Document Type
- Technical Report
- Publication Date
- Nov 09, 2001
- Accession Number
- ADA399200
Entities
People
- Alexander G. Tartakovsky
- Boris Rozovskii
Organizations
- University of Southern California