首页> 外文会议>2009 International Institute of Applied Statistics Studies(2009 国际应用统计学术研讨会)论文集 >Effects of Complicated Measurement Environments to Correlation of Observational Data
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Effects of Complicated Measurement Environments to Correlation of Observational Data

机译:复杂的测量环境对观测数据相关性的影响

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Correlation analysis of outer-trajectory data measured by equipments onboard spacecraft TT&C(tracking, telemetry and control) ship shows: by using differential methods to make stationary correction for measurement data, its tendency can be eliminated and stationary requirements can be satisfied; partial correlation function reflects the correlation between ,t s x x ,which has no change after differential correction, it reflects the correlation in nature; therefore, partial correlation function should be mainly based on when studying correlation of measurement data. Processing results show: all the correlated steps of slant range R are more than that of other measurement elements of the same shipboard equipments in a same mission, measuring 30 steps or so, correlated time of about 3 seconds, which shows R has a strong correlation, say, slant range value at a certain time is liable to be affected and restricted by that measured at previous time; the correlated steps of other elements are usually near 15 steps, i.e., correlated time is about 1.5 seconds.
机译:用航天飞机TT&C(跟踪,遥测和控制)船上的设备测量的外部轨迹数据的相关性分析表明:通过使用差分方法对测量数据进行平稳校正,可以消除其趋势,并满足平稳性要求;偏相关函数反映了,t s x x之间的相关性,经过微分校正后没有变化,反映了相关性。因此,在研究测量数据的相关性时,主要应基于偏相关函数。处理结果表明:在同一任务中,倾斜范围R的所有相关步长均大于同一舰载设备的其他测量元件的相关步长,约30步,相关时间约为3秒,说明R具有很强的相关性比方说,某一时间的倾斜范围值容易受到前一次测量的影响和限制;其他元素的相关步长通常接近15步,即相关时间约为1.5秒。

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