The Design and Implementation of a Novel Distributed Multi-Sensor Information Fusion Simulation System

The large number of “false” targets, which are commonly faced by the aviators in real battlefields, will deteriorate the efficiency and initiative of the campaign. To detect and remove these “false” targets, a novel tracking simulation system is presented in this paper. As the key part of a multi-sensor information fusion simulation system, this tracking simulation sub-system consists of tracking pre-processing, tracking association, tracking fusion and tracking management modules. In the tracking association module, a multi-factors fuzzy synthetic evaluation (MFFSE) approach is adopted, and decision is made through common factors extraction, fuzzy synthetic function selection, fuzzy evaluation set construction and similarity construction. The architecture of the system, the process of information processing process, as well as design and implementation of algorithm are discussed in detail. Simulations are also performed, and it is verified that the multi-factors fuzzy synthetic evaluation based track-association method can remove the “false” targets effectively and improve the quality of object tracking significantly. Besides, the distributed multi-sensor information fusion simulation system presented here can act as a universal verification platform for different track association algorithm evaluation.