Outlier elimination of telemetry data based on arithmetic of 53H

Hao Sun; Lei Liu; Jian-wei Sun; Si-jia Duan

doi:10.1117/12.2643715

9 October 2022 Outlier elimination of telemetry data based on arithmetic of 53H

Hao Sun, Lei Liu, Jian-wei Sun, Si-jia Duan

Proceedings Volume 12246, 2nd International Conference on Signal Image Processing and Communication (ICSIPC 2022); 1224625 (2022) https://doi.org/10.1117/12.2643715
Event: 2nd International Conference on Signal Image Processing and Communication (ICSIPC 2022), 2022, Qingdao, China

Abstract

In the process of telemetry data distribution from the satellite to each telemetry station, due to the influence of weather, magnetic field interference and other accidental factors, the observed data will seriously deviate from the target true value. We call this part of data outliers. The accuracy of telemetry data is very important. If there are outliers in telemetry data, it will directly affect the subsequent fault detection and prediction, produce abnormal misjudgment, and even cause false alarm, which will perplex the subsequent staff to confirm the satellite state and deal with satellite abnormalities. In this paper, an improved arithmetic of 53h is proposed to eliminate outliers from the telemetry data of a navigation satellite. The elimination rate of isolated outliers can reach 100%, and it can avoid the wrong elimination of correct data by continuous outliers. The model is simple and fast, and can be well applied to non real-time and real-time telemetry data preprocessing.

Citation Download Citation

Hao Sun, Lei Liu, Jian-wei Sun, and Si-jia Duan "Outlier elimination of telemetry data based on arithmetic of 53H", Proc. SPIE 12246, 2nd International Conference on Signal Image Processing and Communication (ICSIPC 2022), 1224625 (9 October 2022); https://doi.org/10.1117/12.2643715

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