Some multi-sensor fusion systems are not asymptotic stable like target tracking system. When using classical H∞ filtering theory to design the fusion filter for these systems, there are no feasible solutions to the problem. Applying H∞ theory and LMI methods to design the H∞ fusion filter for those kind of fusion systems, in which the process and measurement noise have unknown statistic charact...

Abstract This paper adopts the concept of random weighting estimation to multi-sensor data fusion. It presents a new random weighting estimation methodology for optimal fusion of multi-dimensional position data. A multi-sensor observation model is constructed for multi-dimensional position. Based on this observation model, a random weighting estimation algorithm is developed to estimate positio...

Data fusion technology can be the best way to extract useful information from multiple sources of data. It has been widely applied in various applications. This paper presents a data fusion approach in multimedia data for event detection in twitter by using Dempster-Shafer evidence theory. The methodology applies a mining algorithm to detect the event. There are two types of data in the fusion....