多源数据融合系统性能评价的测试床研究

多源数据融合系统处理多个不同信息源上报的数据，估计战场环境中实体的当前和未来的运动特性，并识别这些实体的关键属性，生成综合战术态势。对多源数据融合算法和技术性能进行定量评价，评估多源数据融合系统是否按预期正常工作，既要求计算的准确性，又要求满足实时性。多源数据融合测试床可为评价多源数据融合系统的各种性能指标提供环境和能力。

Study of the Test Bed for the Performance Evaluation of Multi-source Data Fusion System

A Multi-source Data Fusion (MSDF) system processes the data reported by multiple dissimilar sources in order to estimate the current and future kinematics properties for entities in operational environment, to identify key attributes of these entities, and to generate the integrated tactical picture. To quantitatively assess the performance of the MSDF algorithms and techniques, and to assess if a MSDF system is working properly, means not only the accuracy of computations, but also the real-time requirements. The proposed MSDF test bed will provide environment and capabilities to evaluate various measures of performance for MSDF systems.