基于跃变量分析的航天器遥测数据可信度计算

A Method for Computing Telemetry Data Reliability Based on Step Variable Statistics

随着航天器在轨数量和其系统本身复杂性的增加,航天器遥测数据呈爆发式增长,如何有效剔除航天器遥测数据中存在的大量误码具有重要意义,从而提高故障报警的准确性和在轨数据分析的效率。提出了一种基于跃变量统计的遥测数据可信度计算方法,将航天器的实时遥测数据与历史遥测数据关联起来,提取了历史遥测数据的跃变量特征值统计规律,并基于此建立了实时遥测数据的可信度计算模型,从而计算得到遥测数据的可信度系数。最后以某卫星的温度遥测数据为例进行了仿真验证,仿真结果表明了上述可信度计算方法可在保证不丢失原遥测数据有用信息的前提下,大大提升了处理后遥测数据的质量,减少了遥测误码,可以满足航天器实时遥测数据的可信度计算要求。高质量的遥测数据将进一步提高地面系统对航天器在轨运行状况的准确判断,大大减少故障的虚警率。

With the increase of the number of spacecraft in orbit and the complexity of the system itself,the telem-etry data of spacecraft is growing explosively.How to effectively eliminate a large number of errors in the telemetry da-ta of spacecraft is of great significance,thereby improving the accuracy of fault alarm and the efficiency of data analy-sis for spacecraft in orbit.In this paper,a method of calculating the reliability of telemetry data based on jump statis-tics is proposed.Through this method,the authors associated the real-time telemetry data of spacecraft with the histor-ical telemetry data,extracted the statistical law of jump characteristic value of historical telemetry data,and established the reliability calculation model of real-time telemetry data,so as to calculate the reliability coefficient of telemetry data.Finally,taking the temperature telemetry data of a satellite as an example,the simulation results show that this credibility calculation method can greatly improve the quality of the processed telemetry data,reduce the te-lemetry error code,and meet the reliability calculation requirements of real-time telemetry data of spacecraft on the premise of not losing the useful information of the original telemetry data.High quality telemetry data will further im-prove the accuracy of the ground system to judge the operation status of spacecraft in orbit,and greatly reduce the false alarm rate of failure.