Abstract
Due to the high sampling frequency of fast varying parameters in telemetry data, it is necessary to divide different periods for segment selection in the analysis process. Most of the existing segment selection methods are carried out by manually analyzing the time history curve of parameters, with large segment selection error and many manual interventions. Therefore, this paper introduces an adaptive processing method of fast varying parameters in telemetry data based on envelope extremum method, which distinguishes characteristic and non-characteristic signals, establishes different envelope extraction models, and ensures the richness of frequency and the maximization of amplitude of segment selection signal. The advantage of this method is fast, efficient, practical, and can greatly improve the data processing efficiency. It is verified by the measured rocket telemetry vibration signal that the processing effect is good.
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Qin, S., Zhang, J., Gao, Y., Wei, M., Li, H. (2023). Research on an Adaptive Processing Method of Fast Varying Parameters in Telemetry Data Based on Envelope. In: Yan, L., Duan, H., Deng, Y. (eds) Advances in Guidance, Navigation and Control. ICGNC 2022. Lecture Notes in Electrical Engineering, vol 845. Springer, Singapore. https://doi.org/10.1007/978-981-19-6613-2_394
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DOI: https://doi.org/10.1007/978-981-19-6613-2_394
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