Research on the Application of Multi-Source Radar Information Fusion Based on Digital Twin
Sheng Zhao, Yanan Xie, Tegang Lu, Hao Bai · 2024
This paper proposes a multi-source radar information fusion technology grounded in digital twin technology, considering the future development trajectories of radar information fusion and the current status and advancements in digital twin technology. It systematically examines the specific applications of digital twin technology in multi-source radar information fusion, encompassing system architecture design, data acquisition and processing, real-time simulation and prediction, fault diagnosis, and health management. Additionally, the potential applications of digital twin technology in fault diagnosis and health management within the context of multi-source radar information fusion are explored, proposing data-driven preventive maintenance strategies to further enhance system reliability and maintainability. The paper also identifies challenges such as high-precision modeling, data transmission, and processing efficiency in the application of digital twin technology within multi-source radar information fusion, providing reference directions for future development.