ABSTRACT
Mathematics of Data Fusion
,
and summarized in the recent article, “An Introduction to Multisource-Multitarget Statistics and its Applications.”
FISST provides a fully unified, scientifically defensible, probabilistic foundation for the following aspects of multisource, multitarget, multiplatform data fusion: (1) multisource integration (i.e., detection, identification, and tracking) based on Bayesian filtering and estimation;
(2) sensor management using control theory;
(3) performance evaluation using information theory;
(4) expert systems theory (e.g., fuzzy logic, the Dempster-Shafer theory of evidence, and rulebased inference);
(5) distributed fusion;
and (5) aspects of situation/threat assessment.
