数据源是信息融合系统最初的输入,对其进行定量评价可以为算法管理提供依据。通过定量计算,提出一种数据源质量评价新指标——易跟踪度,用以描述对数据源进行跟踪,是否容易获得理想的跟踪结果。实验证明,易跟踪度指标可以为信息融合系统的算法管理提供直观依据。

Data sources are the initial inputs for information fusion system. Quantitative evaluation of the data sources can provide a basis for algorithm management in information fusion system. By quantitative computing, a new metric_track easiness degree is proposed, which can evaluate the qualities of data sources and is used to describe how easy it is to track the data sources to get ideal tracks. Results show that track easiness degree is intuitive for algorithm management in information fusion system.