基于子帧质量最优的多站遥测数据实时融合方法研究

Methods of real time telemetry data fusing based onoptimization of subframe quality

针对跨区域任务中遥测数据实时处理较易产生野值的问题,通过对野值数据对应的二进制原码数据进行分析,提出一种基于子帧质量最优融合处理方法,实现了在数据处理过程中充分挖掘所有相关数据信息提升数据处理质量。该方法利用测得的多站遥测数据信息,充分利用每一有效子帧数据,并以子帧质量元素、时码作为判据,通过子帧时间对准、子帧计数统计、子帧质量元素选优等关键技术实现数据实时融合,形成完整有效数据流。应用结果表明,该方法能够有效去除遥测数据野值,最大限度减少丢帧或错帧带来的乱散数据影响,精准还原遥测参数结果,提供了一种高效数据处理的有效途径。

For Aiming at the problem that outfield value is easy to be generated in the real-time processing of telemetry data in cross-region task,by analyzing the binary source data corresponding to outfield value data,an optimal fusion processing method based on sub-frame quality is proposed,which fully mines all relevant data information to improve the data processing quality in the process of data processing.This method makes full use of the measured telemetry data of multiple stations,makes full use of each valid sub-frame data,and uses the sub-frame quality element and time code as the criterion,realizes the real-time data fusion through the key technologies of sub-frame time alignment,sub-frame count statistics,sub-frame quality element selection and so on,and forms a complete and effective data stream.The application results show that the method can effectively remove the wild values of telemetry data,minimize the impact of lost or wrong frames on scattered data,accurately restore the results of telemetry parameters,and provide an effective way for efficient data processing.