Adaptive data fusion processing: Thoughts and perspectives

The focus of this paper is on stating the architecture of data fusion, revisiting the standard representation conceived of by the Data Fusion panels and describing recent work carried out at the Center for Multisource Information Fusion (CMIF) at the State University of New York at Buffalo on the development of an adaptive Fuzzy α-β target tracker. This paper discusses in detail, the α-β-γ filter which is a sampled data target tracker, which can asymptotically track a constant acceleration target. The α-β-γ filter is analyzed by determining the bounds on the α-β-γ parameters for stability and for its noise filtering capability.