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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。
Spatial target measurement methods gradually diversified, fusion processing technology is to reduce the impact of uncertainty of measurement information, access to robust, high-precision target tracking an important method. Based on the idea of motion modeling, real-time filtering and multi-sensor data fusion, a complete spatial target tracking data processing flow is established. According to the influence of uncertainty of measurement information, such as scattered time, complex error components and unbalanced coverage, on the processing links, a robust fusion estimation scheme is designed. On this basis, a space target tracking system is designed. The system uses a modular implementation structure to improve algorithm compatibility and task expansion capabilities. The calculation example verifies the performance of the system.