Multi-platform and Multi-sensor Data Fusion Based on D-S Evidence Theory
Zhen Lei, Peizhi Cui, Yanyan Huang · 2020
This paper introduces two common design ideas and data preparation methods of multi-platform collaborative data fusion, and analyzes the application principle of D-S evidence theory in multi-platform collaborative data fusion. By using the advantages of multi-platform collaborative data fusion system, the shortcomings of single platform and single sensor in acquiring target information are solved, with high accuracy and credibility, expanding the scope of space detection, and enhancing the fault tolerance and complementarity of the system. The simulation results verify the effectiveness and practicability of D-S evidence theory in multi-platform collaborative data fusion.