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Multi-platform and Multi-sensor Data Fusion Based on D-S Evidence Theory

机译:基于DS证据理论的多平台多传感器数据融合

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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.
机译:本文介绍了多平台协同数据融合的两种常见设计思想和数据准备方法,并分析了D-S证据理论在多平台协同数据融合中的应用原理。利用多平台协同数据融合系统的优点,解决了单平台,单传感器获取目标信息的缺点,具有准确性高,可信度高,扩展空间检测范围,增强了系统的容错性和互补性。系统。仿真结果验证了D-S证据理论在多平台协同数据融合中的有效性和实用性。

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