The Design and Application of Multi-Sensor Data Fusion in Open System Architecture of Avionics

To meet the pressing needs of developments in avionics and military capability, in this paper, an application instance of fundamental multi-radars data fusion based on Kalman filtering to open system architecture platform of avionics is proposed and carried out. The multi-radar data fusion process scheme is designed in four core modules: coordinate conversion module, data compressing module, the nearest neighbor algorithm module and Kalman filtering algorithm module. Based on the open system architecture and relevant hierarchical design, the application platform of data fusion system is built up. A friendly radar stimulation man-machine interface is designed to vividly show the whole radar detection process and achieve the data detection targets. Finally, the data fusion process is successfully applied in open system architecture and efficiently realizes the real-time tasks. Detailed data fusion results arc shown in several broken line graphs.