改进型加权实时融合算法在提高遥测数据质量中的应用  

Application of Improved Weighted Real-time Fusion Algorithm in Enhancing Telemetry Data Quality

作　　者：唐艺灵[1] TANG Yiling(Unit 92941 of PLA,Huludao 125001,China)

机构地区：[1]中国人民解放军92941部队,辽宁葫芦岛125001

出　　处：《探测与控制学报》2022年第4期81-86,共6页Journal of Detection & Control

摘　　要：针对跨区域联合试验任务中,测量距离增加,参试装备增多,遥测实时处理更易受到通讯、方位、距离、电磁等干扰影响问题,提出按照区域划分三个区间分别进行处理的方法。在两区域交会部分针对野值较多,数据源来自不同测量体制的情况提出对局部区域采用加权数据融合状态估计的方式和改进型分批估计与分组动态加权实时融合算法。该方法在借鉴分批估计算法的基础上,采用对设备先进行分组再分批的方式,并引入异常因子进行均值分析,作为选择性去除临界值的最优百分比,降低精度较差的数据源带来的影响;最后针对误差分布不均的特点,实时计算数据源测量精度及动态权值,实现动态加权融合。基于典型算例对该算法进行验证,结果表明,该算法能够有效降低环境干扰、失效数据及数据源精度差异所带来的影响,获得了较高可靠性的测量数据,且算法简便实用,易于编程实现。In the cross-region joint test mission,the much measurement distance increases,the more test equipment are needed,and the telemetry real-time processing is more susceptible to the interference of communication,azimuth,distance,electromagnetic and so on.In the intersection section of the two regions,a weighted data fusion state estimation method was proposed for the local regions where there were many outliers and data sources come from different measurement systems,and an improved batch estimation and adaptive weighted real-time fusion algorithm are proposed.Based on the batch estimation algorithm,this method used grouping devices batchingfirst,and introduced abnormal factors to selectively remove a certain proportion of maximum and minimum values,so as to further reduce the impact of poor precision data sources and improve the estimation accuracy.Finally,the measurement accuracy and dynamic weight of data source were calculated in real time to realize dynamic weighted fusion.The proposed algorithm was verified by a typical example,and the results showed that the proposed algorithm could effectively reduce the impact of environmental interference,failure data and data source accuracy difference,and obtained high reliability measurement data.The algorithm was simple,practical and easy to program.

关 键 词：联合任务 分组动态加权 异常因子 数据处理 实时遥测数据质量 

分 类 号：TP2[自动化与计算机技术—检测技术与自动化装置]