An Automatic Aerospace Tracking Data Analysis Method Based on Time Series Curve Shape

Abstract

Abstract In the joint test of aerospace tracking, telemetering and command (TT&C) system, the consistency of measured and theoretical data is highly required. How to evaluate the quality of measured data intelligently and efficiently is a hot issue. To address this problem, an automatic data analysis method based on time series curve shape is proposed in this paper. By locating the part of abnormal shape on the curve, the data quality can be quickly evaluated using various pattern recognition algorithms. Finally, several simulation experiments are used to demonstrate the proposed method, which show that the curve shape can be accurately identified and the data quality can be given reasonably.