外测数据融合准则及最优权值计算方法

航天发射对火箭飞行弹道数据处理的精度要求日益增高,对参与外测融合解算的雷达信息可靠性也提出了较高的要求。为解决航天发射时异常测量数据参与外测融合求解可能会导致火箭弹道精度降低的问题,提出了外测数据融合准则和短时多测元快速遴选方法,可有效识别、剔除异常测量数据,确保同目标高精度测元参与融合解算;并针对不同体制、不等精度的测量数据设计了一种最优权值快速计算方法,该方法综合考虑了测控设备的实际测量精度及布站几何对弹道精度的影响,确保在设定步长内融合权值最优。仿真结果证明该算法简单适用,可确保关键节点测控信息源的准确度,有效提高了发射场火箭弹道参数的处理精度。

Data Fusion Criterion and Optimal Weight Calculation Method for External Ballistic Measurement

Space launch requires more and more precision in the processing of rocket flight trajectory data.It also requires higher reliability of radar information involved in the fusion calculation of external measurements.In order to solve the problem that rocket trajectory accuracy may be reduced when abnormal measurement data participate in external measurement fusion solution during space launch,external measurement data fusion criteria and short-term multi-sensor rapid selection method are proposed,which can effectively identify and eliminate abnormal measurement data and ensure high-precision measurement elements with the same target participate in fusion solution.According to the measurement data of different systems and different precision,a fast calculation method for optimal weight is designed to ensure the optimal fusion weight within the set step size.The simulation results show that the algorithm is simple and applicable,which can ensure the accuracy of the measurement and control information sources of key nodes and effectively improve the processing accuracy of rocket trajectory parameter at the launch site.