测量船多设备外测数据的融合算法  

Fusion Algorithm for Multi-source Tracking Data of Space Instrumentation Ship

作　　者：薛国虎[1] 李晓勇[1] 张忠华[1] 李辉芬[1] 冯鸿奎[1] 

机构地区：[1]中国卫星海上测控部

出　　处：《飞行器测控学报》2011年第1期52-55,共4页Journal of Spacecraft TT&C Technology

摘　　要：为了进一步提高航天测量船外弹道数据处理的精度，须根据不同的任务特点和要求选用合适的数据处理方法。针对测量船精度校飞时多设备同时跟踪飞行目标的工程背景，提出多设备外弹道数据融合处理的构思，根据数据融合的原理阐述了数据融合技术在精度校飞数据处理中的应用，给出目标位置融合的几种算法，并用加权最小二乘数据融合算法对实测数据进行处理。工程应用结果表明：本文提出的数据融合方法计算量少、精度高，适合工程应用。To further improve the accuracy of tracking data processing, appropriate processing methods should be selected according to the features and demands of different missions. Based on the engineering background of diversified space instrumentation ship equipment tracking the same flying object during flight test of accuracy at sea, this paper first proposes the concept of fusion processing of the measurement data. Based on the principle, discussions are given on the application of data fusion technology in flight test data processing. Several algorithms for object po sition fusion are presented while processing of the measurement data with weighted least square fusion algorithm is performed. Engineering application results show that data fusion methods discussed in this paper possess such features as less computation load, high precision and adaptability for project application.

关 键 词：航天测量船 数据处理 数据融合 数学模型 精度校飞 

分 类 号：V557.5[航空宇航科学与技术—人机与环境工程]