Perceptual Reasoning Managed Situation Assessment and Adaptive Fusion Processing

摘要

A unified perceptual reasoning system framework for adaptive sensor fusion and situation assessment is presented. The concept and application of perception, the resultant system architecture and its candidate renditions using knowledge-based systems and associative memory are discussed. The perceptual reasoning system is shown to be a natural governing mechanism for extracting, associating and fusing information from multiple sources while adaptively controlling the Joint Director of Laboratories (JDL) Fusion Model processes for optimum fusion system performance. The unified modular system construct is shown to provide a formal framework to accommodate various implementation alternatives. The application of this architectural concept is illustrated for representative network centric surveillance system architecture. A target identification system using Dempster-Shafer declarations level fusion is used to demonstrate the benefits of the adaptive perceptual reasoning system and the iterative evidential reasoning method.