中文摘要：

空间目标测量手段逐渐多样化，融合处理技术是降低测量信息不确定性影响，获得稳健、高精度目标跟踪结果的重要方法。基于运动建模、实时滤波和多传感器数据融合思想，建立了完整的空间目标跟踪数据处理流程。根据获取时间散乱、误差成分复杂和覆盖范围不均衡等测量信息不确定性对各处理环节的影响，设计了稳健的融合估计方案。在此基础上，综合设计了一个空间目标跟踪系统。系统采用模块化的实现结构，以提高算法兼容性和任务扩展能力。计算实例验证了系统的性能。

英文摘要：

As various instruments are used for space targets tracking, data fusion is very notable for robust and accurate tracking by reducing the influences of the measurement uncertainties. The full data processing flow for space target tracking is firstly suggested based on dynamic modelling, real-time filter and multi-sensor fusion technology. Then, a robust fusion scheme is proposed lo deal with the measurement uncertainties, such as the out-of-sequence measurements, the complexities of measurement errors, the disproportions of measurement coverage. After this, a fusion system for space target tracking is developed. The system introduces a modularized configuration to enhance the compatibility of other algorithms and to enlarge its applications to other tracking tasks. The performances of the system are validated by example applications.