• Journal of Terahertz Science and Electronic Information Technology
  • Vol. 20, Issue 2, 119 (2022)
WU Jing*, AI Xiaofeng, XU Zhiming, ZHAO Feng, and XIE Xiaoxia
Author Affiliations
  • [in Chinese]
  • show less
    DOI: 10.11805/tkyda2021341 Cite this Article
    WU Jing, AI Xiaofeng, XU Zhiming, ZHAO Feng, XIE Xiaoxia. Design and development of fusion processing template for netted radar[J]. Journal of Terahertz Science and Electronic Information Technology , 2022, 20(2): 119 Copy Citation Text show less

    Abstract

    Netted radar data fusion processing has the characteristics of wide application scenes, adopting diverse algorithms and using controllable parameters. Aiming at the problems of long development cycle and high system design complexity existing in the development of traditional fusion processing system, based on the component design of fusion processing, a general template of network fusion processing is designed by using open and reconfigurable architecture. Because of the low coupling of components, the system can be expanded easily only by modifying some components instead of building a whole system. The expanded contents include new component algorithms and new fusion templates. Compared with reconstructing the whole system, the independent and easy-to-understand component expansion operation reduces the complexity of the system and the ability requirements for developers. Simulation experiments have achieved two types of expansion. The results show that the design is feasible, improves the integration efficiency of the new algorithm, and enhances the scene adaptability of the networked fusion processing system.
    WU Jing, AI Xiaofeng, XU Zhiming, ZHAO Feng, XIE Xiaoxia. Design and development of fusion processing template for netted radar[J]. Journal of Terahertz Science and Electronic Information Technology , 2022, 20(2): 119
    Download Citation